ychenhq commited on
Commit
04fbff5
1 Parent(s): c4ce881

Upload folder using huggingface_hub

Browse files
This view is limited to 50 files because it contains too many changes.   See raw diff
Files changed (50) hide show
  1. .gitattributes +3 -0
  2. VBench/.gitignore +173 -0
  3. VBench/LICENSE +201 -0
  4. VBench/MANIFEST.in +5 -0
  5. VBench/README-pypi.md +74 -0
  6. VBench/README.md +192 -0
  7. VBench/asset/fig_teaser_new.jpg +3 -0
  8. VBench/asset/radar-close.jpg +3 -0
  9. VBench/asset/radar-open.jpg +3 -0
  10. VBench/asset/vbench_logo_short.jpg +0 -0
  11. VBench/bin/evaluate +70 -0
  12. VBench/dimension_to_folder.json +18 -0
  13. VBench/evaluate.py +85 -0
  14. VBench/evaluate.sh +30 -0
  15. VBench/evaluation_results/README.md +2 -0
  16. VBench/pretrained/README.md +3 -0
  17. VBench/pretrained/aesthetic_model/model_path.txt +1 -0
  18. VBench/pretrained/amt_model/AMT-S.yaml +63 -0
  19. VBench/pretrained/amt_model/download.sh +1 -0
  20. VBench/pretrained/caption_model/model_path.txt +1 -0
  21. VBench/pretrained/clip_model/model_path.txt +2 -0
  22. VBench/pretrained/grit_model/model_path.txt +1 -0
  23. VBench/pretrained/pyiqa_model/model_path.txt +1 -0
  24. VBench/pretrained/raft_model/download.sh +5 -0
  25. VBench/pretrained/umt_model/kinetics_400_categroies.txt +400 -0
  26. VBench/pretrained/umt_model/model_path.txt +1 -0
  27. VBench/pretrained/viclip_model/model_path.txt +1 -0
  28. VBench/prompts/README.md +95 -0
  29. VBench/prompts/all_category.txt +800 -0
  30. VBench/prompts/all_dimension.txt +946 -0
  31. VBench/prompts/metadata/appearance_style.json +362 -0
  32. VBench/prompts/metadata/color.json +342 -0
  33. VBench/prompts/metadata/multiple_objects.json +330 -0
  34. VBench/prompts/metadata/object_class.json +318 -0
  35. VBench/prompts/metadata/spatial_relationship.json +506 -0
  36. VBench/prompts/prompts_per_category/animal.txt +100 -0
  37. VBench/prompts/prompts_per_category/architecture.txt +100 -0
  38. VBench/prompts/prompts_per_category/food.txt +100 -0
  39. VBench/prompts/prompts_per_category/human.txt +100 -0
  40. VBench/prompts/prompts_per_category/lifestyle.txt +100 -0
  41. VBench/prompts/prompts_per_category/plant.txt +100 -0
  42. VBench/prompts/prompts_per_category/scenery.txt +100 -0
  43. VBench/prompts/prompts_per_category/vehicles.txt +100 -0
  44. VBench/prompts/prompts_per_dimension/appearance_style.txt +90 -0
  45. VBench/prompts/prompts_per_dimension/color.txt +85 -0
  46. VBench/prompts/prompts_per_dimension/human_action.txt +100 -0
  47. VBench/prompts/prompts_per_dimension/multiple_objects.txt +82 -0
  48. VBench/prompts/prompts_per_dimension/object_class.txt +79 -0
  49. VBench/prompts/prompts_per_dimension/overall_consistency.txt +93 -0
  50. VBench/prompts/prompts_per_dimension/scene.txt +86 -0
.gitattributes CHANGED
@@ -130,3 +130,6 @@ ECCV2022-RIFE-main/demo/I0_slomo_clipped.gif filter=lfs diff=lfs merge=lfs -text
130
  uvq/models/compressionnet_baseline/variables/variables.data-00000-of-00001 filter=lfs diff=lfs merge=lfs -text
131
  uvq/models/contentnet_baseline/variables/variables.data-00000-of-00001 filter=lfs diff=lfs merge=lfs -text
132
  uvq/models/distortionnet_baseline/variables/variables.data-00000-of-00001 filter=lfs diff=lfs merge=lfs -text
 
 
 
 
130
  uvq/models/compressionnet_baseline/variables/variables.data-00000-of-00001 filter=lfs diff=lfs merge=lfs -text
131
  uvq/models/contentnet_baseline/variables/variables.data-00000-of-00001 filter=lfs diff=lfs merge=lfs -text
132
  uvq/models/distortionnet_baseline/variables/variables.data-00000-of-00001 filter=lfs diff=lfs merge=lfs -text
133
+ VBench/asset/fig_teaser_new.jpg filter=lfs diff=lfs merge=lfs -text
134
+ VBench/asset/radar-close.jpg filter=lfs diff=lfs merge=lfs -text
135
+ VBench/asset/radar-open.jpg filter=lfs diff=lfs merge=lfs -text
VBench/.gitignore ADDED
@@ -0,0 +1,173 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ # Byte-compiled / optimized / DLL files
2
+ __pycache__/
3
+ *.py[cod]
4
+ *$py.class
5
+
6
+ # C extensions
7
+ *.so
8
+
9
+ # Distribution / packaging
10
+ .Python
11
+ build/
12
+ develop-eggs/
13
+ dist/
14
+ downloads/
15
+ eggs/
16
+ .eggs/
17
+ lib/
18
+ lib64/
19
+ parts/
20
+ sdist/
21
+ var/
22
+ wheels/
23
+ share/python-wheels/
24
+ *.egg-info/
25
+ .installed.cfg
26
+ *.egg
27
+ MANIFEST
28
+
29
+ # PyInstaller
30
+ # Usually these files are written by a python script from a template
31
+ # before PyInstaller builds the exe, so as to inject date/other infos into it.
32
+ *.manifest
33
+ *.spec
34
+
35
+ # Installer logs
36
+ pip-log.txt
37
+ pip-delete-this-directory.txt
38
+
39
+ # Unit test / coverage reports
40
+ htmlcov/
41
+ .tox/
42
+ .nox/
43
+ .coverage
44
+ .coverage.*
45
+ .cache
46
+ nosetests.xml
47
+ coverage.xml
48
+ *.cover
49
+ *.py,cover
50
+ .hypothesis/
51
+ .pytest_cache/
52
+ cover/
53
+
54
+ # Translations
55
+ *.mo
56
+ *.pot
57
+
58
+ # Django stuff:
59
+ *.log
60
+ local_settings.py
61
+ db.sqlite3
62
+ db.sqlite3-journal
63
+
64
+ # Flask stuff:
65
+ instance/
66
+ .webassets-cache
67
+
68
+ # Scrapy stuff:
69
+ .scrapy
70
+
71
+ # Sphinx documentation
72
+ docs/_build/
73
+
74
+ # PyBuilder
75
+ .pybuilder/
76
+ target/
77
+
78
+ # Jupyter Notebook
79
+ .ipynb_checkpoints
80
+
81
+ # IPython
82
+ profile_default/
83
+ ipython_config.py
84
+
85
+ # pyenv
86
+ # For a library or package, you might want to ignore these files since the code is
87
+ # intended to run in multiple environments; otherwise, check them in:
88
+ # .python-version
89
+
90
+ # pipenv
91
+ # According to pypa/pipenv#598, it is recommended to include Pipfile.lock in version control.
92
+ # However, in case of collaboration, if having platform-specific dependencies or dependencies
93
+ # having no cross-platform support, pipenv may install dependencies that don't work, or not
94
+ # install all needed dependencies.
95
+ #Pipfile.lock
96
+
97
+ # poetry
98
+ # Similar to Pipfile.lock, it is generally recommended to include poetry.lock in version control.
99
+ # This is especially recommended for binary packages to ensure reproducibility, and is more
100
+ # commonly ignored for libraries.
101
+ # https://python-poetry.org/docs/basic-usage/#commit-your-poetrylock-file-to-version-control
102
+ #poetry.lock
103
+
104
+ # pdm
105
+ # Similar to Pipfile.lock, it is generally recommended to include pdm.lock in version control.
106
+ #pdm.lock
107
+ # pdm stores project-wide configurations in .pdm.toml, but it is recommended to not include it
108
+ # in version control.
109
+ # https://pdm.fming.dev/#use-with-ide
110
+ .pdm.toml
111
+
112
+ # PEP 582; used by e.g. github.com/David-OConnor/pyflow and github.com/pdm-project/pdm
113
+ __pypackages__/
114
+
115
+ # Celery stuff
116
+ celerybeat-schedule
117
+ celerybeat.pid
118
+
119
+ # SageMath parsed files
120
+ *.sage.py
121
+
122
+ # Environments
123
+ .env
124
+ .venv
125
+ env/
126
+ venv/
127
+ ENV/
128
+ env.bak/
129
+ venv.bak/
130
+
131
+ # Spyder project settings
132
+ .spyderproject
133
+ .spyproject
134
+
135
+ # Rope project settings
136
+ .ropeproject
137
+
138
+ # mkdocs documentation
139
+ /site
140
+
141
+ # mypy
142
+ .mypy_cache/
143
+ .dmypy.json
144
+ dmypy.json
145
+
146
+ # Pyre type checker
147
+ .pyre/
148
+
149
+ # pytype static type analyzer
150
+ .pytype/
151
+
152
+ # Cython debug symbols
153
+ cython_debug/
154
+
155
+ # pytorch checkpoints
156
+ *.pt
157
+ *.pth
158
+ *.ckpt
159
+ *.pkl
160
+
161
+ # sampled videos
162
+ *.mp4
163
+ *.avi
164
+ *.gif
165
+
166
+ # development logs
167
+ private_dev/*
168
+ evaluation_results/*.json
169
+ vbench/third_party/ViCLIP/bpe_simple_vocab_16e6.txt.gz
170
+ trash*
171
+
172
+ # image suite
173
+ vbench2_beta_i2v/data
VBench/LICENSE ADDED
@@ -0,0 +1,201 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ Apache License
2
+ Version 2.0, January 2004
3
+ http://www.apache.org/licenses/
4
+
5
+ TERMS AND CONDITIONS FOR USE, REPRODUCTION, AND DISTRIBUTION
6
+
7
+ 1. Definitions.
8
+
9
+ "License" shall mean the terms and conditions for use, reproduction,
10
+ and distribution as defined by Sections 1 through 9 of this document.
11
+
12
+ "Licensor" shall mean the copyright owner or entity authorized by
13
+ the copyright owner that is granting the License.
14
+
15
+ "Legal Entity" shall mean the union of the acting entity and all
16
+ other entities that control, are controlled by, or are under common
17
+ control with that entity. For the purposes of this definition,
18
+ "control" means (i) the power, direct or indirect, to cause the
19
+ direction or management of such entity, whether by contract or
20
+ otherwise, or (ii) ownership of fifty percent (50%) or more of the
21
+ outstanding shares, or (iii) beneficial ownership of such entity.
22
+
23
+ "You" (or "Your") shall mean an individual or Legal Entity
24
+ exercising permissions granted by this License.
25
+
26
+ "Source" form shall mean the preferred form for making modifications,
27
+ including but not limited to software source code, documentation
28
+ source, and configuration files.
29
+
30
+ "Object" form shall mean any form resulting from mechanical
31
+ transformation or translation of a Source form, including but
32
+ not limited to compiled object code, generated documentation,
33
+ and conversions to other media types.
34
+
35
+ "Work" shall mean the work of authorship, whether in Source or
36
+ Object form, made available under the License, as indicated by a
37
+ copyright notice that is included in or attached to the work
38
+ (an example is provided in the Appendix below).
39
+
40
+ "Derivative Works" shall mean any work, whether in Source or Object
41
+ form, that is based on (or derived from) the Work and for which the
42
+ editorial revisions, annotations, elaborations, or other modifications
43
+ represent, as a whole, an original work of authorship. For the purposes
44
+ of this License, Derivative Works shall not include works that remain
45
+ separable from, or merely link (or bind by name) to the interfaces of,
46
+ the Work and Derivative Works thereof.
47
+
48
+ "Contribution" shall mean any work of authorship, including
49
+ the original version of the Work and any modifications or additions
50
+ to that Work or Derivative Works thereof, that is intentionally
51
+ submitted to Licensor for inclusion in the Work by the copyright owner
52
+ or by an individual or Legal Entity authorized to submit on behalf of
53
+ the copyright owner. For the purposes of this definition, "submitted"
54
+ means any form of electronic, verbal, or written communication sent
55
+ to the Licensor or its representatives, including but not limited to
56
+ communication on electronic mailing lists, source code control systems,
57
+ and issue tracking systems that are managed by, or on behalf of, the
58
+ Licensor for the purpose of discussing and improving the Work, but
59
+ excluding communication that is conspicuously marked or otherwise
60
+ designated in writing by the copyright owner as "Not a Contribution."
61
+
62
+ "Contributor" shall mean Licensor and any individual or Legal Entity
63
+ on behalf of whom a Contribution has been received by Licensor and
64
+ subsequently incorporated within the Work.
65
+
66
+ 2. Grant of Copyright License. Subject to the terms and conditions of
67
+ this License, each Contributor hereby grants to You a perpetual,
68
+ worldwide, non-exclusive, no-charge, royalty-free, irrevocable
69
+ copyright license to reproduce, prepare Derivative Works of,
70
+ publicly display, publicly perform, sublicense, and distribute the
71
+ Work and such Derivative Works in Source or Object form.
72
+
73
+ 3. Grant of Patent License. Subject to the terms and conditions of
74
+ this License, each Contributor hereby grants to You a perpetual,
75
+ worldwide, non-exclusive, no-charge, royalty-free, irrevocable
76
+ (except as stated in this section) patent license to make, have made,
77
+ use, offer to sell, sell, import, and otherwise transfer the Work,
78
+ where such license applies only to those patent claims licensable
79
+ by such Contributor that are necessarily infringed by their
80
+ Contribution(s) alone or by combination of their Contribution(s)
81
+ with the Work to which such Contribution(s) was submitted. If You
82
+ institute patent litigation against any entity (including a
83
+ cross-claim or counterclaim in a lawsuit) alleging that the Work
84
+ or a Contribution incorporated within the Work constitutes direct
85
+ or contributory patent infringement, then any patent licenses
86
+ granted to You under this License for that Work shall terminate
87
+ as of the date such litigation is filed.
88
+
89
+ 4. Redistribution. You may reproduce and distribute copies of the
90
+ Work or Derivative Works thereof in any medium, with or without
91
+ modifications, and in Source or Object form, provided that You
92
+ meet the following conditions:
93
+
94
+ (a) You must give any other recipients of the Work or
95
+ Derivative Works a copy of this License; and
96
+
97
+ (b) You must cause any modified files to carry prominent notices
98
+ stating that You changed the files; and
99
+
100
+ (c) You must retain, in the Source form of any Derivative Works
101
+ that You distribute, all copyright, patent, trademark, and
102
+ attribution notices from the Source form of the Work,
103
+ excluding those notices that do not pertain to any part of
104
+ the Derivative Works; and
105
+
106
+ (d) If the Work includes a "NOTICE" text file as part of its
107
+ distribution, then any Derivative Works that You distribute must
108
+ include a readable copy of the attribution notices contained
109
+ within such NOTICE file, excluding those notices that do not
110
+ pertain to any part of the Derivative Works, in at least one
111
+ of the following places: within a NOTICE text file distributed
112
+ as part of the Derivative Works; within the Source form or
113
+ documentation, if provided along with the Derivative Works; or,
114
+ within a display generated by the Derivative Works, if and
115
+ wherever such third-party notices normally appear. The contents
116
+ of the NOTICE file are for informational purposes only and
117
+ do not modify the License. You may add Your own attribution
118
+ notices within Derivative Works that You distribute, alongside
119
+ or as an addendum to the NOTICE text from the Work, provided
120
+ that such additional attribution notices cannot be construed
121
+ as modifying the License.
122
+
123
+ You may add Your own copyright statement to Your modifications and
124
+ may provide additional or different license terms and conditions
125
+ for use, reproduction, or distribution of Your modifications, or
126
+ for any such Derivative Works as a whole, provided Your use,
127
+ reproduction, and distribution of the Work otherwise complies with
128
+ the conditions stated in this License.
129
+
130
+ 5. Submission of Contributions. Unless You explicitly state otherwise,
131
+ any Contribution intentionally submitted for inclusion in the Work
132
+ by You to the Licensor shall be under the terms and conditions of
133
+ this License, without any additional terms or conditions.
134
+ Notwithstanding the above, nothing herein shall supersede or modify
135
+ the terms of any separate license agreement you may have executed
136
+ with Licensor regarding such Contributions.
137
+
138
+ 6. Trademarks. This License does not grant permission to use the trade
139
+ names, trademarks, service marks, or product names of the Licensor,
140
+ except as required for reasonable and customary use in describing the
141
+ origin of the Work and reproducing the content of the NOTICE file.
142
+
143
+ 7. Disclaimer of Warranty. Unless required by applicable law or
144
+ agreed to in writing, Licensor provides the Work (and each
145
+ Contributor provides its Contributions) on an "AS IS" BASIS,
146
+ WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or
147
+ implied, including, without limitation, any warranties or conditions
148
+ of TITLE, NON-INFRINGEMENT, MERCHANTABILITY, or FITNESS FOR A
149
+ PARTICULAR PURPOSE. You are solely responsible for determining the
150
+ appropriateness of using or redistributing the Work and assume any
151
+ risks associated with Your exercise of permissions under this License.
152
+
153
+ 8. Limitation of Liability. In no event and under no legal theory,
154
+ whether in tort (including negligence), contract, or otherwise,
155
+ unless required by applicable law (such as deliberate and grossly
156
+ negligent acts) or agreed to in writing, shall any Contributor be
157
+ liable to You for damages, including any direct, indirect, special,
158
+ incidental, or consequential damages of any character arising as a
159
+ result of this License or out of the use or inability to use the
160
+ Work (including but not limited to damages for loss of goodwill,
161
+ work stoppage, computer failure or malfunction, or any and all
162
+ other commercial damages or losses), even if such Contributor
163
+ has been advised of the possibility of such damages.
164
+
165
+ 9. Accepting Warranty or Additional Liability. While redistributing
166
+ the Work or Derivative Works thereof, You may choose to offer,
167
+ and charge a fee for, acceptance of support, warranty, indemnity,
168
+ or other liability obligations and/or rights consistent with this
169
+ License. However, in accepting such obligations, You may act only
170
+ on Your own behalf and on Your sole responsibility, not on behalf
171
+ of any other Contributor, and only if You agree to indemnify,
172
+ defend, and hold each Contributor harmless for any liability
173
+ incurred by, or claims asserted against, such Contributor by reason
174
+ of your accepting any such warranty or additional liability.
175
+
176
+ END OF TERMS AND CONDITIONS
177
+
178
+ APPENDIX: How to apply the Apache License to your work.
179
+
180
+ To apply the Apache License to your work, attach the following
181
+ boilerplate notice, with the fields enclosed by brackets "[]"
182
+ replaced with your own identifying information. (Don't include
183
+ the brackets!) The text should be enclosed in the appropriate
184
+ comment syntax for the file format. We also recommend that a
185
+ file or class name and description of purpose be included on the
186
+ same "printed page" as the copyright notice for easier
187
+ identification within third-party archives.
188
+
189
+ Copyright [yyyy] [name of copyright owner]
190
+
191
+ Licensed under the Apache License, Version 2.0 (the "License");
192
+ you may not use this file except in compliance with the License.
193
+ You may obtain a copy of the License at
194
+
195
+ http://www.apache.org/licenses/LICENSE-2.0
196
+
197
+ Unless required by applicable law or agreed to in writing, software
198
+ distributed under the License is distributed on an "AS IS" BASIS,
199
+ WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
200
+ See the License for the specific language governing permissions and
201
+ limitations under the License.
VBench/MANIFEST.in ADDED
@@ -0,0 +1,5 @@
 
 
 
 
 
 
1
+ include version.txt
2
+ include requirements.txt
3
+ recursive-include vbench/third_party *.yaml
4
+ recursive-include vbench *.json
5
+ recursive-include vbench/third_party *.txt
VBench/README-pypi.md ADDED
@@ -0,0 +1,74 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ ![vbench_logo](https://raw.githubusercontent.com/Vchitect/VBench/master/asset/vbench_logo_short.jpg)
2
+
3
+ **VBench** is a comprehensive benchmark suite for video generative models. You can use **VBench** to evaluate video generation models from 16 different ability aspects.
4
+
5
+ This project is the PyPI implementation of the following research:
6
+ > **VBench: Comprehensive Benchmark Suite for Video Generative Models**<br>
7
+ > [Ziqi Huang](https://ziqihuangg.github.io/)<sup>∗</sup>, [Yinan He](https://github.com/yinanhe)<sup>∗</sup>, [Jiashuo Yu](https://scholar.google.com/citations?user=iH0Aq0YAAAAJ&hl=zh-CN)<sup>∗</sup>, [Fan Zhang](https://github.com/zhangfan-p)<sup>∗</sup>, [Chenyang Si](https://chenyangsi.top/), [Yuming Jiang](https://yumingj.github.io/), [Yuanhan Zhang](https://zhangyuanhan-ai.github.io/), [Tianxing Wu](https://tianxingwu.github.io/), [Qingyang Jin](https://github.com/Vchitect/VBench), [Nattapol Chanpaisit](https://nattapolchan.github.io/me), [Yaohui Wang](https://wyhsirius.github.io/), [Xinyuan Chen](https://scholar.google.com/citations?user=3fWSC8YAAAAJ), [Limin Wang](https://wanglimin.github.io), [Dahua Lin](http://dahua.site/)<sup>+</sup>, [Yu Qiao](http://mmlab.siat.ac.cn/yuqiao/index.html)<sup>+</sup>, [Ziwei Liu](https://liuziwei7.github.io/)<sup>+</sup><br>
8
+
9
+ [![Paper](https://img.shields.io/badge/cs.CV-Paper-b31b1b?logo=arxiv&logoColor=red)](https://arxiv.org/abs/2311.17982)
10
+ [![Project Page](https://img.shields.io/badge/VBench-Website-green?logo=googlechrome&logoColor=green)](https://vchitect.github.io/VBench-project/)
11
+ [![HuggingFace](https://img.shields.io/badge/%F0%9F%A4%97%20Hugging%20Face-Leaderboard-blue)](https://huggingface.co/spaces/Vchitect/VBench_Leaderboard)
12
+ [![Video](https://img.shields.io/badge/YouTube-Video-c4302b?logo=youtube&logoColor=red)](https://www.youtube.com/watch?v=7IhCC8Qqn8Y)
13
+ [![Visitor](https://hits.seeyoufarm.com/api/count/incr/badge.svg?url=https%3A%2F%2Fgithub.com%2FVchitect%2FVBench&count_bg=%23FFA500&title_bg=%23555555&icon=&icon_color=%23E7E7E7&title=visitors&edge_flat=false)](https://hits.seeyoufarm.com)
14
+
15
+ ## Installation
16
+ ```
17
+ pip install vbench
18
+ ```
19
+
20
+ To evaluate some video generation ability aspects, you need to install [detectron2](https://github.com/facebookresearch/detectron2) via:
21
+ ```
22
+ pip install detectron2@git+https://github.com/facebookresearch/detectron2.git
23
+ ```
24
+
25
+ If there is an error during [detectron2](https://github.com/facebookresearch/detectron2) installation, see [here](https://detectron2.readthedocs.io/en/latest/tutorials/install.html).
26
+
27
+ ## Usage
28
+ ##### command line
29
+ ```bash
30
+ vbench evaluate --videos_path $VIDEO_PATH --dimension $DIMENSION
31
+ ```
32
+ For example:
33
+ ```bash
34
+ vbench evaluate --videos_path "sampled_videos/lavie/human_action" --dimension "human_action"
35
+ ```
36
+ ##### python
37
+ ```python
38
+ from vbench import VBench
39
+ my_VBench = VBench(device, <path/to/VBench_full_info.json>, <path/to/save/dir>)
40
+ my_VBench.evaluate(
41
+ videos_path = <video_path>,
42
+ name = <name>,
43
+ dimension_list = [<dimension>, <dimension>, ...],
44
+ )
45
+ ```
46
+ For example:
47
+ ```python
48
+ from vbench import VBench
49
+ my_VBench = VBench(device, "VBench_full_info.json", "evaluation_results")
50
+ my_VBench.evaluate(
51
+ videos_path = "sampled_videos/lavie/human_action",
52
+ name = "lavie_human_action",
53
+ dimension_list = ["human_action"],
54
+ )
55
+ ```
56
+
57
+ ## Prompt Suite
58
+
59
+ We provide prompt lists are at `prompts/`.
60
+
61
+ Check out [details of prompt suites](https://github.com/Vchitect/VBench/tree/master/prompts), and instructions for [**how to sample videos for evaluation**](https://github.com/Vchitect/VBench/tree/master/prompts).
62
+
63
+ ## Citation
64
+
65
+ If you find this package useful for your reports or publications, please consider citing the VBench paper:
66
+
67
+ ```bibtex
68
+ @article{huang2023vbench,
69
+ title={{VBench}: Comprehensive Benchmark Suite for Video Generative Models},
70
+ author={Huang, Ziqi and He, Yinan and Yu, Jiashuo and Zhang, Fan and Si, Chenyang and Jiang, Yuming and Zhang, Yuanhan and Wu, Tianxing and Jin, Qingyang and Chanpaisit, Nattapol and Wang, Yaohui and Chen, Xinyuan and Wang, Limin and Lin, Dahua and Qiao, Yu and Liu, Ziwei},
71
+ journal={arXiv preprint arXiv:2311.17982},
72
+ year={2023}
73
+ }
74
+ ```
VBench/README.md ADDED
@@ -0,0 +1,192 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ ![vbench_logo](https://raw.githubusercontent.com/Vchitect/VBench/master/asset/vbench_logo_short.jpg)
2
+
3
+ <!-- [![arXiv](https://img.shields.io/badge/arXiv-2311.99999-b31b1b.svg)](https://arxiv.org/abs/2311.99999) -->
4
+ [![Paper](https://img.shields.io/badge/cs.CV-Paper-b31b1b?logo=arxiv&logoColor=red)](https://arxiv.org/abs/2311.17982)
5
+ [![Project Page](https://img.shields.io/badge/VBench-Website-green?logo=googlechrome&logoColor=green)](https://vchitect.github.io/VBench-project/)
6
+ [![PyPI](https://img.shields.io/pypi/v/vbench)](https://pypi.org/project/vbench/)
7
+ [![HuggingFace](https://img.shields.io/badge/%F0%9F%A4%97%20Hugging%20Face-Leaderboard-blue)](https://huggingface.co/spaces/Vchitect/VBench_Leaderboard)
8
+ [![Video](https://img.shields.io/badge/YouTube-Video-c4302b?logo=youtube&logoColor=red)](https://www.youtube.com/watch?v=7IhCC8Qqn8Y)
9
+ [![Visitor](https://hits.seeyoufarm.com/api/count/incr/badge.svg?url=https%3A%2F%2Fgithub.com%2FVchitect%2FVBench&count_bg=%23FFA500&title_bg=%23555555&icon=&icon_color=%23E7E7E7&title=visitors&edge_flat=false)](https://hits.seeyoufarm.com)
10
+
11
+
12
+ This repository contains the implementation of the following paper:
13
+ > **VBench: Comprehensive Benchmark Suite for Video Generative Models**<br>
14
+ > [Ziqi Huang](https://ziqihuangg.github.io/)<sup>∗</sup>, [Yinan He](https://github.com/yinanhe)<sup>∗</sup>, [Jiashuo Yu](https://scholar.google.com/citations?user=iH0Aq0YAAAAJ&hl=zh-CN)<sup>∗</sup>, [Fan Zhang](https://github.com/zhangfan-p)<sup>∗</sup>, [Chenyang Si](https://chenyangsi.top/), [Yuming Jiang](https://yumingj.github.io/), [Yuanhan Zhang](https://zhangyuanhan-ai.github.io/), [Tianxing Wu](https://tianxingwu.github.io/), [Qingyang Jin](https://github.com/Vchitect/VBench), [Nattapol Chanpaisit](https://nattapolchan.github.io/me), [Yaohui Wang](https://wyhsirius.github.io/), [Xinyuan Chen](https://scholar.google.com/citations?user=3fWSC8YAAAAJ), [Limin Wang](https://wanglimin.github.io), [Dahua Lin](http://dahua.site/)<sup>+</sup>, [Yu Qiao](http://mmlab.siat.ac.cn/yuqiao/index.html)<sup>+</sup>, [Ziwei Liu](https://liuziwei7.github.io/)<sup>+</sup><br>
15
+ > IEEE/CVF Conference on Computer Vision and Pattern Recognition (**CVPR**), 2024
16
+
17
+
18
+
19
+ ## :fire: Updates
20
+ - [03/2024] :fire::fire: **[VBench-Reliability](https://github.com/Vchitect/VBench/tree/master/vbench2_beta_reliability)** :fire::fire: We now support evaluating the **reliability** (*e.g.*, culture, fairness, bias, safety) of video generative models.
21
+ - [03/2024] :fire::fire: **[VBench-I2V](https://github.com/Vchitect/VBench/tree/master/vbench2_beta_i2v)** :fire::fire: We now support evaluating **Image-to-Video (I2V)** models. We also provide [Image Suite](https://drive.google.com/drive/folders/1fdOZKQ7HWZtgutCKKA7CMzOhMFUGv4Zx?usp=sharing).
22
+ - [03/2024] We support **evaluating customized videos**! See [here](https://github.com/Vchitect/VBench/?tab=readme-ov-file#new-evaluate-your-own-videos) for instructions.
23
+ - [01/2024] PyPI pacakge is released! [![PyPI](https://img.shields.io/pypi/v/vbench)](https://pypi.org/project/vbench/). Simply `pip install vbench`.
24
+ - [12/2023] :fire::fire: **[VBench](https://github.com/Vchitect/VBench?tab=readme-ov-file#usage)** :fire::fire: Evaluation code released for 16 **Text-to-Video (T2V) evaluation** dimensions.
25
+ - `['subject_consistency', 'background_consistency', 'temporal_flickering', 'motion_smoothness', 'dynamic_degree', 'aesthetic_quality', 'imaging_quality', 'object_class', 'multiple_objects', 'human_action', 'color', 'spatial_relationship', 'scene', 'temporal_style', 'appearance_style', 'overall_consistency']`
26
+ - [11/2023] Prompt Suites released. (See prompt lists [here](https://github.com/Vchitect/VBench/tree/master/prompts))
27
+
28
+
29
+ ## :mega: Overview
30
+ ![overall_structure](./asset/fig_teaser_new.jpg)
31
+ We propose **VBench**, a comprehensive benchmark suite for video generative models. We design a comprehensive and hierarchical <b>Evaluation Dimension Suite</b> to decompose "video generation quality" into multiple well-defined dimensions to facilitate fine-grained and objective evaluation. For each dimension and each content category, we carefully design a <b>Prompt Suite</b> as test cases, and sample <b>Generated Videos</b> from a set of video generation models. For each evaluation dimension, we specifically design an <b>Evaluation Method Suite</b>, which uses carefully crafted method or designated pipeline for automatic objective evaluation. We also conduct <b>Human Preference Annotation</b> for the generated videos for each dimension, and show that VBench evaluation results are <b>well aligned with human perceptions</b>. VBench can provide valuable insights from multiple perspectives.
32
+
33
+
34
+ ## :mortar_board: Evaluation Results
35
+ <p align="center">
36
+ <img src="./asset/radar-open.jpg" width="48%" style="margin-right: 4%;" />
37
+ <img src="./asset/radar-close.jpg" width="48%" />
38
+ </p>
39
+
40
+ We visualize VBench evaluation results of various publicly available video generation models, as well as Gen-2 and Pika, across 16 VBench dimensions. We normalize the results per dimension for clearer comparisons. (See numeric values at our [Leaderboard](https://huggingface.co/spaces/Vchitect/VBench_Leaderboard))
41
+
42
+ <!-- The values have been normalized for better readability of the chart. The normalization process involves scaling each set of performance values to a common scale between 0.3 and 0.8. The formula used for normalization is: (value - min value) / (max value - min value). -->
43
+
44
+
45
+ ## :hammer: Installation
46
+ ### Install with pip
47
+ ```
48
+ pip install vbench
49
+ ```
50
+
51
+ To evaluate some video generation ability aspects, you need to install [detectron2](https://github.com/facebookresearch/detectron2) via:
52
+ ```
53
+ pip install detectron2@git+https://github.com/facebookresearch/detectron2.git
54
+ ```
55
+
56
+ If there is an error during [detectron2](https://github.com/facebookresearch/detectron2) installation, see [here](https://detectron2.readthedocs.io/en/latest/tutorials/install.html).
57
+
58
+ Download [VBench_full_info.json](https://github.com/Vchitect/VBench/blob/master/vbench/VBench_full_info.json) to your running directory to read the benchmark prompt suites.
59
+
60
+ ### Install with git clone
61
+ git clone https://github.com/Vchitect/VBench.git
62
+ pip install -r VBench/requirements.txt
63
+ pip install VBench
64
+
65
+ If there is an error during [detectron2](https://github.com/facebookresearch/detectron2) installation, see [here](https://detectron2.readthedocs.io/en/latest/tutorials/install.html).
66
+
67
+ ## Usage
68
+ Use VBench to evaluate videos, and video generative models.
69
+ - A Side Note: VBench is designed for evaluating different models on a standard benchmark. Therefore, by default, we enforce evaluation on the **standard VBench prompt lists** to ensure **fair comparisons** among different video generation models. That's also why we give warnings when a required video is not found. This is done via defining the set of prompts in [VBench_full_info.json](https://github.com/Vchitect/VBench/blob/master/vbench/VBench_full_info.json). However, we understand that many users would like to use VBench to evaluate their own videos, or videos generated from prompts that does not belong to the VBench Prompt Suite, so we also added the function of **Evaluating Your Own Videos**. Simply turn the `custom_input` flag on, and you can evaluate your own videos.
70
+
71
+
72
+ ### **[New]** Evaluate Your Own Videos
73
+ We support evaluating any video. Simply provide the path to the video file, or the path to the folder that contains your videos. There is no requirement on the videos' names.
74
+ - Note: We support customized videos / prompts for the following dimensions: `'subject_consistency', 'background_consistency', 'motion_smoothness', 'dynamic_degree', 'aesthetic_quality', 'imaging_quality'`
75
+
76
+
77
+ To evaluate videos with customed input prompt, run our script with the `custom_input` flag on:
78
+ ```
79
+ python evaluate.py \
80
+ --dimension $DIMENSION \
81
+ --videos_path /path/to/folder_or_video/ \
82
+ --custom_input
83
+ ```
84
+ alternatively you can use our command:
85
+ ```
86
+ vbench evaluate \
87
+ --dimension $DIMENSION \
88
+ --videos_path /path/to/folder_or_video/ \
89
+ --custom_input
90
+ ```
91
+
92
+ ### Evaluation on the Standard Prompt Suite of VBench
93
+
94
+ ##### command line
95
+ ```bash
96
+ vbench evaluate --videos_path $VIDEO_PATH --dimension $DIMENSION
97
+ ```
98
+ For example:
99
+ ```bash
100
+ vbench evaluate --videos_path "sampled_videos/lavie/human_action" --dimension "human_action"
101
+ ```
102
+ ##### python
103
+ ```python
104
+ from vbench import VBench
105
+ my_VBench = VBench(device, <path/to/VBench_full_info.json>, <path/to/save/dir>)
106
+ my_VBench.evaluate(
107
+ videos_path = <video_path>,
108
+ name = <name>,
109
+ dimension_list = [<dimension>, <dimension>, ...],
110
+ )
111
+ ```
112
+ For example:
113
+ ```python
114
+ from vbench import VBench
115
+ my_VBench = VBench(device, "vbench/VBench_full_info.json", "evaluation_results")
116
+ my_VBench.evaluate(
117
+ videos_path = "sampled_videos/lavie/human_action",
118
+ name = "lavie_human_action",
119
+ dimension_list = ["human_action"],
120
+ )
121
+ ```
122
+
123
+ ### Example of Evaluating VideoCrafter-1.0
124
+ We have provided scripts to download VideoCrafter-1.0 samples, and the corresponding evaluation scripts.
125
+ ```
126
+ # download sampled videos
127
+ sh scripts/download_videocrafter1.sh
128
+
129
+ # evaluate VideoCrafter-1.0
130
+ sh scripts/evaluate_videocrafter1.sh
131
+ ```
132
+
133
+
134
+
135
+ ## :gem: Pre-Trained Models
136
+ [Optional] Please download the pre-trained weights according to the guidance in the `model_path.txt` file for each model in the `pretrained` folder to `~/.cache/vbench`.
137
+
138
+ ## :bookmark_tabs: Prompt Suite
139
+
140
+ We provide prompt lists are at `prompts/`.
141
+
142
+ Check out [details of prompt suites](https://github.com/Vchitect/VBench/tree/master/prompts), and instructions for [**how to sample videos for evaluation**](https://github.com/Vchitect/VBench/tree/master/prompts).
143
+
144
+ ## :surfer: Evaluation Method Suite
145
+
146
+ To perform evaluation on one dimension, run this:
147
+ ```
148
+ python evaluate.py --videos_path $VIDEOS_PATH --dimension $DIMENSION
149
+ ```
150
+ - The complete list of dimensions:
151
+ ```
152
+ ['subject_consistency', 'background_consistency', 'temporal_flickering', 'motion_smoothness', 'dynamic_degree', 'aesthetic_quality', 'imaging_quality', 'object_class', 'multiple_objects', 'human_action', 'color', 'spatial_relationship', 'scene', 'temporal_style', 'appearance_style', 'overall_consistency']
153
+ ```
154
+
155
+ Alternatively, you can evaluate multiple models and multiple dimensions using this script:
156
+ ```
157
+ bash evaluate.sh
158
+ ```
159
+ - The default sampled video paths:
160
+ ```
161
+ vbench_videos/{model}/{dimension}/{prompt}-{index}.mp4/gif
162
+ ```
163
+
164
+ To filter static videos in the temporal flickering dimension, run this:
165
+ ```
166
+ python static_filter.py --videos_path $VIDEOS_PATH
167
+ ```
168
+
169
+
170
+ ## :black_nib: Citation
171
+
172
+ If you find our repo useful for your research, please consider citing our paper:
173
+
174
+ ```bibtex
175
+ @InProceedings{huang2023vbench,
176
+ title={{VBench}: Comprehensive Benchmark Suite for Video Generative Models},
177
+ author={Huang, Ziqi and He, Yinan and Yu, Jiashuo and Zhang, Fan and Si, Chenyang and Jiang, Yuming and Zhang, Yuanhan and Wu, Tianxing and Jin, Qingyang and Chanpaisit, Nattapol and Wang, Yaohui and Chen, Xinyuan and Wang, Limin and Lin, Dahua and Qiao, Yu and Liu, Ziwei},
178
+ booktitle={Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition},
179
+ year={2024}
180
+ }
181
+ ```
182
+
183
+
184
+ ## :hearts: Acknowledgement
185
+
186
+ ### VBench Contributors
187
+ Order is based on the time joining the project:
188
+ > [Ziqi Huang](https://ziqihuangg.github.io/), [Yinan He](https://github.com/yinanhe), [Jiashuo Yu](https://scholar.google.com/citations?user=iH0Aq0YAAAAJ&hl=zh-CN), [Fan Zhang](https://github.com/zhangfan-p), [Nattapol Chanpaisit](https://nattapolchan.github.io/me), [Xiaojie Xu](https://github.com/xjxu21).
189
+
190
+ ### Open-Sourced Repositories
191
+ This project wouldn't be possible without the following open-sourced repositories:
192
+ [AMT](https://github.com/MCG-NKU/AMT/), [UMT](https://github.com/OpenGVLab/unmasked_teacher), [RAM](https://github.com/xinyu1205/recognize-anything), [CLIP](https://github.com/openai/CLIP), [RAFT](https://github.com/princeton-vl/RAFT), [GRiT](https://github.com/JialianW/GRiT), [IQA-PyTorch](https://github.com/chaofengc/IQA-PyTorch/), [ViCLIP](https://github.com/OpenGVLab/InternVideo/tree/main/Data/InternVid), and [LAION Aesthetic Predictor](https://github.com/LAION-AI/aesthetic-predictor).
VBench/asset/fig_teaser_new.jpg ADDED

Git LFS Details

  • SHA256: 5015ba1e8e0507de77354ae569fde871e6499a333a135087342de1cc4c6366fb
  • Pointer size: 132 Bytes
  • Size of remote file: 3.1 MB
VBench/asset/radar-close.jpg ADDED

Git LFS Details

  • SHA256: 8c67adc9a7e43a73219f9ccfc0b08533d2692833619165e92fdd282d833bdd18
  • Pointer size: 132 Bytes
  • Size of remote file: 3.73 MB
VBench/asset/radar-open.jpg ADDED

Git LFS Details

  • SHA256: 2773c7e2b1ad2fcad02078decc3f2614b01254cafe173b660557d8c0cba5d7d5
  • Pointer size: 132 Bytes
  • Size of remote file: 3.95 MB
VBench/asset/vbench_logo_short.jpg ADDED
VBench/bin/evaluate ADDED
@@ -0,0 +1,70 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ #!/usr/bin/env python3
2
+
3
+ import torch
4
+ import vbench
5
+ from vbench import VBench
6
+
7
+
8
+ import argparse
9
+
10
+ def parse_args():
11
+
12
+ parser = argparse.ArgumentParser(description='VBench')
13
+ parser.add_argument(
14
+ "--output_path",
15
+ type=str,
16
+ default='./evaluation_results/',
17
+ help="output path to save the evaluation results",
18
+ )
19
+ parser.add_argument(
20
+ "--full_json_dir",
21
+ type=str,
22
+ default='./VBench_full_info.json',
23
+ help="path to save the json file that contains the prompt and dimension information",
24
+ )
25
+ parser.add_argument(
26
+ "--videos_path",
27
+ type=str,
28
+ required=True,
29
+ help="folder that contains the sampled videos",
30
+ )
31
+ parser.add_argument(
32
+ "--dimension",
33
+ type=str,
34
+ required=True,
35
+ help="evaluation dimensions",
36
+ )
37
+ parser.add_argument(
38
+ "--load_ckpt_from_local",
39
+ type=bool,
40
+ required=False,
41
+ help="whether load checkpoints from local default paths (assuming you have downloaded the checkpoints locally",
42
+ )
43
+ parser.add_argument(
44
+ "--read_frame",
45
+ type=bool,
46
+ required=False,
47
+ help="whether directly read frames, or directly read videos",
48
+ )
49
+ args = parser.parse_args()
50
+ return args
51
+
52
+ def main():
53
+ args = parse_args()
54
+ print(f'args: {args}')
55
+
56
+ device = torch.device("cuda")
57
+ my_VBench = VBench(device, args.full_json_dir, args.output_path)
58
+
59
+ print(f'start evaluation')
60
+ my_VBench.evaluate(
61
+ videos_path = args.videos_path,
62
+ name = args.dimension,
63
+ dimension_list = [args.dimension],
64
+ local=args.load_ckpt_from_local,
65
+ read_frame=args.read_frame,
66
+ )
67
+ print('done')
68
+
69
+ if __name__ == "__main__":
70
+ main()
VBench/dimension_to_folder.json ADDED
@@ -0,0 +1,18 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "subject_consistency": "subject_consistency",
3
+ "background_consistency": "scene",
4
+ "aesthetic_quality": "overall_consistency",
5
+ "imaging_quality": "overall_consistency",
6
+ "object_class": "object_class",
7
+ "multiple_objects": "multiple_objects",
8
+ "color": "color",
9
+ "spatial_relationship": "spatial_relationship",
10
+ "scene": "scene",
11
+ "temporal_style": "temporal_style",
12
+ "overall_consistency": "overall_consistency",
13
+ "human_action": "human_action",
14
+ "temporal_flickering": "temporal_flickering",
15
+ "motion_smoothness": "subject_consistency",
16
+ "dynamic_degree": "subject_consistency",
17
+ "appearance_style": "appearance_style"
18
+ }
VBench/evaluate.py ADDED
@@ -0,0 +1,85 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ import torch
2
+ import os
3
+ from vbench import VBench
4
+ from datetime import datetime
5
+
6
+ import argparse
7
+
8
+ def parse_args():
9
+
10
+ CUR_DIR = os.path.dirname(os.path.abspath(__file__))
11
+ parser = argparse.ArgumentParser(description='VBench')
12
+ parser.add_argument(
13
+ "--output_path",
14
+ type=str,
15
+ default='./evaluation_results/',
16
+ help="output path to save the evaluation results",
17
+ )
18
+ parser.add_argument(
19
+ "--full_json_dir",
20
+ type=str,
21
+ default=f'{CUR_DIR}/vbench/VBench_full_info.json',
22
+ help="path to save the json file that contains the prompt and dimension information",
23
+ )
24
+ parser.add_argument(
25
+ "--videos_path",
26
+ type=str,
27
+ required=True,
28
+ help="folder that contains the sampled videos",
29
+ )
30
+ parser.add_argument(
31
+ "--dimension",
32
+ nargs='+',
33
+ required=True,
34
+ help="list of evaluation dimensions, usage: --dimension <dim_1> <dim_2>",
35
+ )
36
+ parser.add_argument(
37
+ "--load_ckpt_from_local",
38
+ type=bool,
39
+ required=False,
40
+ help="whether load checkpoints from local default paths (assuming you have downloaded the checkpoints locally",
41
+ )
42
+ parser.add_argument(
43
+ "--read_frame",
44
+ type=bool,
45
+ required=False,
46
+ help="whether directly read frames, or directly read videos",
47
+ )
48
+ parser.add_argument(
49
+ "--custom_input",
50
+ action="store_true",
51
+ required=False,
52
+ help="whether use custom input prompt or vbench prompt"
53
+ )
54
+ parser.add_argument(
55
+ "--output_filename",
56
+ type=str,
57
+ required=True,
58
+ help="filename before _full_info or _eval_results",
59
+ )
60
+ args = parser.parse_args()
61
+ return args
62
+
63
+
64
+ def main():
65
+ args = parse_args()
66
+ print(f'args: {args}')
67
+
68
+ device = torch.device("cuda")
69
+ my_VBench = VBench(device, args.full_json_dir, args.output_path)
70
+
71
+ print(f'start evaluation')
72
+ # current_time = datetime.now().strftime('%Y-%m-%d-%H:%M:%S')
73
+ my_VBench.evaluate(
74
+ videos_path = args.videos_path,
75
+ name = args.output_filename,
76
+ dimension_list = args.dimension,
77
+ local=args.load_ckpt_from_local,
78
+ read_frame=args.read_frame,
79
+ custom_prompt=args.custom_input,
80
+ )
81
+ print('done')
82
+
83
+
84
+ if __name__ == "__main__":
85
+ main()
VBench/evaluate.sh ADDED
@@ -0,0 +1,30 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ #!/bin/bash
2
+
3
+ # Define the model list
4
+ models=("lavie" "modelscope" "videocrafter" "cogvideo")
5
+
6
+ # Define the dimension list
7
+ dimensions=("subject_consistency" "background_consistency" "aesthetic_quality" "imaging_quality" "object_class" "multiple_objects" "color" "spatial_relationship" "scene" "temporal_style" "overall_consistency" "human_action" "temporal_flickering" "motion_smoothness" "dynamic_degree" "appearance_style")
8
+
9
+ # Corresponding folder names
10
+ folders=("subject_consistency" "scene" "overall_consistency" "overall_consistency" "object_class" "multiple_objects" "color" "spatial_relationship" "scene" "temporal_style" "overall_consistency" "human_action" "temporal_flickering" "subject_consistency" "subject_consistency" "appearance_style")
11
+
12
+ # Base path for videos
13
+ base_path='./vbench_videos/' # TODO: change to local path
14
+
15
+ # Loop over each model
16
+ for model in "${models[@]}"; do
17
+ # Loop over each dimension
18
+ for i in "${!dimensions[@]}"; do
19
+ # Get the dimension and corresponding folder
20
+ dimension=${dimensions[i]}
21
+ folder=${folders[i]}
22
+
23
+ # Construct the video path
24
+ videos_path="${base_path}${model}/${folder}"
25
+ echo "$dimension $videos_path"
26
+
27
+ # Run the evaluation script
28
+ python evaluate.py --videos_path $videos_path --dimension $dimension
29
+ done
30
+ done
VBench/evaluation_results/README.md ADDED
@@ -0,0 +1,2 @@
 
 
 
1
+ # :bar_chart: Evaluation Results
2
+ Evaluation results will be saved here.
VBench/pretrained/README.md ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ # :gem: Pre-Trained Models
2
+ [Optional] Please download the pre-trained weights according to the guidance in the `model_path.txt` file for each model (see each folder).
3
+
VBench/pretrained/aesthetic_model/model_path.txt ADDED
@@ -0,0 +1 @@
 
 
1
+ wget https://github.com/LAION-AI/aesthetic-predictor/blob/main/sa_0_4_vit_l_14_linear.pth -P ~/.cache/vbench/aesthetic_model/emb_reader
VBench/pretrained/amt_model/AMT-S.yaml ADDED
@@ -0,0 +1,63 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ exp_name: floloss1e-2_300epoch_bs24_lr2e-4
2
+ seed: 2023
3
+ epochs: 300
4
+ distributed: true
5
+ lr: 2e-4
6
+ lr_min: 2e-5
7
+ weight_decay: 0.0
8
+ resume_state: null
9
+ save_dir: work_dir
10
+ eval_interval: 1
11
+
12
+ network:
13
+ name: networks.AMT-S.Model
14
+ params:
15
+ corr_radius: 3
16
+ corr_lvls: 4
17
+ num_flows: 3
18
+
19
+ data:
20
+ train:
21
+ name: datasets.vimeo_datasets.Vimeo90K_Train_Dataset
22
+ params:
23
+ dataset_dir: data/vimeo_triplet
24
+ val:
25
+ name: datasets.vimeo_datasets.Vimeo90K_Test_Dataset
26
+ params:
27
+ dataset_dir: data/vimeo_triplet
28
+ train_loader:
29
+ batch_size: 24
30
+ num_workers: 12
31
+ val_loader:
32
+ batch_size: 24
33
+ num_workers: 3
34
+
35
+ logger:
36
+ use_wandb: false
37
+ resume_id: null
38
+
39
+ losses:
40
+ - {
41
+ name: losses.loss.CharbonnierLoss,
42
+ nickname: l_rec,
43
+ params: {
44
+ loss_weight: 1.0,
45
+ keys: [imgt_pred, imgt]
46
+ }
47
+ }
48
+ - {
49
+ name: losses.loss.TernaryLoss,
50
+ nickname: l_ter,
51
+ params: {
52
+ loss_weight: 1.0,
53
+ keys: [imgt_pred, imgt]
54
+ }
55
+ }
56
+ - {
57
+ name: losses.loss.MultipleFlowLoss,
58
+ nickname: l_flo,
59
+ params: {
60
+ loss_weight: 0.002,
61
+ keys: [flow0_pred, flow1_pred, flow]
62
+ }
63
+ }
VBench/pretrained/amt_model/download.sh ADDED
@@ -0,0 +1 @@
 
 
1
+ wget https://huggingface.co/lalala125/AMT/resolve/main/amt-s.pth -P ~/.cache/amt_model
VBench/pretrained/caption_model/model_path.txt ADDED
@@ -0,0 +1 @@
 
 
1
+ wget https://huggingface.co/spaces/xinyu1205/recognize-anything/resolve/main/tag2text_swin_14m.pth -P ~/.cache/vbench/caption_model
VBench/pretrained/clip_model/model_path.txt ADDED
@@ -0,0 +1,2 @@
 
 
 
1
+ wget https://openaipublic.azureedge.net/clip/models/40d365715913c9da98579312b702a82c18be219cc2a73407c4526f58eba950af/ViT-B-32.pt -P ~/.cache/vbench/clip_model
2
+ wget https://openaipublic.azureedge.net/clip/models/b8cca3fd41ae0c99ba7e8951adf17d267cdb84cd88be6f7c2e0eca1737a03836/ViT-L-14.pt -P ~/.cache/vbench/clip_model
VBench/pretrained/grit_model/model_path.txt ADDED
@@ -0,0 +1 @@
 
 
1
+ wget https://datarelease.blob.core.windows.net/grit/models/grit_b_densecap_objectdet.pth -P ~/.cache/vbench/grit_model
VBench/pretrained/pyiqa_model/model_path.txt ADDED
@@ -0,0 +1 @@
 
 
1
+ wget https://github.com/chaofengc/IQA-PyTorch/releases/download/v0.1-weights/musiq_spaq_ckpt-358bb6af.pth -P ~/.cache/vbench/pyiqa_model
VBench/pretrained/raft_model/download.sh ADDED
@@ -0,0 +1,5 @@
 
 
 
 
 
 
1
+ #!/bin/bash
2
+ CACHE_DIR=~/.cache/vbench
3
+ wget -P $CACHE_DIR/raft_model/ https://dl.dropboxusercontent.com/s/4j4z58wuv8o0mfz/models.zip
4
+ unzip -d ${CACHE_DIR}/raft_model/ $CACHE_DIR/raft_model/models.zip
5
+ rm -r $CACHE_DIR/raft_model/models.zip
VBench/pretrained/umt_model/kinetics_400_categroies.txt ADDED
@@ -0,0 +1,400 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ riding a bike 0
2
+ marching 1
3
+ dodgeball 2
4
+ playing cymbals 3
5
+ checking tires 4
6
+ roller skating 5
7
+ tasting beer 6
8
+ clapping 7
9
+ drawing 8
10
+ juggling fire 9
11
+ bobsledding 10
12
+ petting animal (not cat) 11
13
+ spray painting 12
14
+ training dog 13
15
+ eating watermelon 14
16
+ building cabinet 15
17
+ applauding 16
18
+ playing harp 17
19
+ balloon blowing 18
20
+ sled dog racing 19
21
+ wrestling 20
22
+ pole vault 21
23
+ hurling (sport) 22
24
+ riding scooter 23
25
+ shearing sheep 24
26
+ sweeping floor 25
27
+ eating carrots 26
28
+ skateboarding 27
29
+ dunking basketball 28
30
+ disc golfing 29
31
+ eating spaghetti 30
32
+ playing flute 31
33
+ riding mechanical bull 32
34
+ making sushi 33
35
+ trapezing 34
36
+ picking fruit 35
37
+ stretching leg 36
38
+ playing ukulele 37
39
+ tying tie 38
40
+ skydiving 39
41
+ playing cello 40
42
+ jumping into pool 41
43
+ shooting goal (soccer) 42
44
+ trimming trees 43
45
+ bookbinding 44
46
+ ski jumping 45
47
+ walking the dog 46
48
+ riding unicycle 47
49
+ shaving head 48
50
+ hopscotch 49
51
+ playing piano 50
52
+ parasailing 51
53
+ bartending 52
54
+ kicking field goal 53
55
+ finger snapping 54
56
+ dining 55
57
+ yawning 56
58
+ peeling potatoes 57
59
+ canoeing or kayaking 58
60
+ front raises 59
61
+ laughing 60
62
+ dancing macarena 61
63
+ digging 62
64
+ reading newspaper 63
65
+ hitting baseball 64
66
+ clay pottery making 65
67
+ exercising with an exercise ball 66
68
+ playing saxophone 67
69
+ shooting basketball 68
70
+ washing hair 69
71
+ lunge 70
72
+ brushing hair 71
73
+ curling hair 72
74
+ kitesurfing 73
75
+ tapping guitar 74
76
+ bending back 75
77
+ skipping rope 76
78
+ situp 77
79
+ folding paper 78
80
+ cracking neck 79
81
+ assembling computer 80
82
+ cleaning gutters 81
83
+ blowing out candles 82
84
+ shaking hands 83
85
+ dancing gangnam style 84
86
+ windsurfing 85
87
+ tap dancing 86
88
+ skiing (not slalom or crosscountry) 87
89
+ bandaging 88
90
+ push up 89
91
+ doing nails 90
92
+ punching person (boxing) 91
93
+ bouncing on trampoline 92
94
+ scrambling eggs 93
95
+ singing 94
96
+ cleaning floor 95
97
+ krumping 96
98
+ drumming fingers 97
99
+ snowmobiling 98
100
+ gymnastics tumbling 99
101
+ headbanging 100
102
+ catching or throwing frisbee 101
103
+ riding elephant 102
104
+ bee keeping 103
105
+ feeding birds 104
106
+ snatch weight lifting 105
107
+ mowing lawn 106
108
+ fixing hair 107
109
+ playing trumpet 108
110
+ flying kite 109
111
+ crossing river 110
112
+ swinging legs 111
113
+ sanding floor 112
114
+ belly dancing 113
115
+ sneezing 114
116
+ clean and jerk 115
117
+ side kick 116
118
+ filling eyebrows 117
119
+ shuffling cards 118
120
+ recording music 119
121
+ cartwheeling 120
122
+ feeding fish 121
123
+ folding clothes 122
124
+ water skiing 123
125
+ tobogganing 124
126
+ blowing leaves 125
127
+ smoking 126
128
+ unboxing 127
129
+ tai chi 128
130
+ waxing legs 129
131
+ riding camel 130
132
+ slapping 131
133
+ tossing salad 132
134
+ capoeira 133
135
+ playing cards 134
136
+ playing organ 135
137
+ playing violin 136
138
+ playing drums 137
139
+ tapping pen 138
140
+ vault 139
141
+ shoveling snow 140
142
+ playing tennis 141
143
+ getting a tattoo 142
144
+ making a sandwich 143
145
+ making tea 144
146
+ grinding meat 145
147
+ squat 146
148
+ eating doughnuts 147
149
+ ice fishing 148
150
+ snowkiting 149
151
+ kicking soccer ball 150
152
+ playing controller 151
153
+ giving or receiving award 152
154
+ welding 153
155
+ throwing discus 154
156
+ throwing axe 155
157
+ ripping paper 156
158
+ swimming butterfly stroke 157
159
+ air drumming 158
160
+ blowing nose 159
161
+ hockey stop 160
162
+ taking a shower 161
163
+ bench pressing 162
164
+ planting trees 163
165
+ pumping fist 164
166
+ climbing tree 165
167
+ tickling 166
168
+ high kick 167
169
+ waiting in line 168
170
+ slacklining 169
171
+ tango dancing 170
172
+ hurdling 171
173
+ carrying baby 172
174
+ celebrating 173
175
+ sharpening knives 174
176
+ passing American football (in game) 175
177
+ headbutting 176
178
+ playing recorder 177
179
+ brush painting 178
180
+ garbage collecting 179
181
+ robot dancing 180
182
+ shredding paper 181
183
+ pumping gas 182
184
+ rock climbing 183
185
+ hula hooping 184
186
+ braiding hair 185
187
+ opening present 186
188
+ texting 187
189
+ decorating the christmas tree 188
190
+ answering questions 189
191
+ playing keyboard 190
192
+ writing 191
193
+ bungee jumping 192
194
+ sniffing 193
195
+ eating burger 194
196
+ playing accordion 195
197
+ making pizza 196
198
+ playing volleyball 197
199
+ tasting food 198
200
+ pushing cart 199
201
+ spinning poi 200
202
+ cleaning windows 201
203
+ arm wrestling 202
204
+ changing oil 203
205
+ swimming breast stroke 204
206
+ tossing coin 205
207
+ deadlifting 206
208
+ hoverboarding 207
209
+ cutting watermelon 208
210
+ cheerleading 209
211
+ snorkeling 210
212
+ washing hands 211
213
+ eating cake 212
214
+ pull ups 213
215
+ surfing water 214
216
+ eating hotdog 215
217
+ holding snake 216
218
+ playing harmonica 217
219
+ ironing 218
220
+ cutting nails 219
221
+ golf chipping 220
222
+ shot put 221
223
+ hugging 222
224
+ playing clarinet 223
225
+ faceplanting 224
226
+ trimming or shaving beard 225
227
+ drinking shots 226
228
+ riding mountain bike 227
229
+ tying bow tie 228
230
+ swinging on something 229
231
+ skiing crosscountry 230
232
+ unloading truck 231
233
+ cleaning pool 232
234
+ jogging 233
235
+ ice climbing 234
236
+ mopping floor 235
237
+ making bed 236
238
+ diving cliff 237
239
+ washing dishes 238
240
+ grooming dog 239
241
+ weaving basket 240
242
+ frying vegetables 241
243
+ stomping grapes 242
244
+ moving furniture 243
245
+ cooking sausages 244
246
+ doing laundry 245
247
+ dying hair 246
248
+ knitting 247
249
+ reading book 248
250
+ baby waking up 249
251
+ punching bag 250
252
+ surfing crowd 251
253
+ cooking chicken 252
254
+ pushing car 253
255
+ springboard diving 254
256
+ swing dancing 255
257
+ massaging legs 256
258
+ beatboxing 257
259
+ breading or breadcrumbing 258
260
+ somersaulting 259
261
+ brushing teeth 260
262
+ stretching arm 261
263
+ juggling balls 262
264
+ massaging person's head 263
265
+ eating ice cream 264
266
+ extinguishing fire 265
267
+ hammer throw 266
268
+ whistling 267
269
+ crawling baby 268
270
+ using remote controller (not gaming) 269
271
+ playing cricket 270
272
+ opening bottle 271
273
+ playing xylophone 272
274
+ motorcycling 273
275
+ driving car 274
276
+ exercising arm 275
277
+ passing American football (not in game) 276
278
+ playing kickball 277
279
+ sticking tongue out 278
280
+ flipping pancake 279
281
+ catching fish 280
282
+ eating chips 281
283
+ shaking head 282
284
+ sword fighting 283
285
+ playing poker 284
286
+ cooking on campfire 285
287
+ doing aerobics 286
288
+ paragliding 287
289
+ using segway 288
290
+ folding napkins 289
291
+ playing bagpipes 290
292
+ gargling 291
293
+ skiing slalom 292
294
+ strumming guitar 293
295
+ javelin throw 294
296
+ waxing back 295
297
+ riding or walking with horse 296
298
+ plastering 297
299
+ long jump 298
300
+ parkour 299
301
+ wrapping present 300
302
+ egg hunting 301
303
+ archery 302
304
+ cleaning toilet 303
305
+ swimming backstroke 304
306
+ snowboarding 305
307
+ catching or throwing baseball 306
308
+ massaging back 307
309
+ blowing glass 308
310
+ playing guitar 309
311
+ playing chess 310
312
+ golf driving 311
313
+ presenting weather forecast 312
314
+ rock scissors paper 313
315
+ high jump 314
316
+ baking cookies 315
317
+ using computer 316
318
+ washing feet 317
319
+ arranging flowers 318
320
+ playing bass guitar 319
321
+ spraying 320
322
+ cutting pineapple 321
323
+ waxing chest 322
324
+ auctioning 323
325
+ jetskiing 324
326
+ drinking 325
327
+ busking 326
328
+ playing monopoly 327
329
+ salsa dancing 328
330
+ waxing eyebrows 329
331
+ watering plants 330
332
+ zumba 331
333
+ chopping wood 332
334
+ pushing wheelchair 333
335
+ carving pumpkin 334
336
+ building shed 335
337
+ making jewelry 336
338
+ catching or throwing softball 337
339
+ bending metal 338
340
+ ice skating 339
341
+ dancing charleston 340
342
+ abseiling 341
343
+ climbing a rope 342
344
+ crying 343
345
+ cleaning shoes 344
346
+ dancing ballet 345
347
+ driving tractor 346
348
+ triple jump 347
349
+ throwing ball 348
350
+ getting a haircut 349
351
+ running on treadmill 350
352
+ climbing ladder 351
353
+ blasting sand 352
354
+ playing trombone 353
355
+ drop kicking 354
356
+ country line dancing 355
357
+ changing wheel 356
358
+ feeding goats 357
359
+ tying knot (not on a tie) 358
360
+ setting table 359
361
+ shaving legs 360
362
+ kissing 361
363
+ riding mule 362
364
+ counting money 363
365
+ laying bricks 364
366
+ barbequing 365
367
+ news anchoring 366
368
+ smoking hookah 367
369
+ cooking egg 368
370
+ peeling apples 369
371
+ yoga 370
372
+ sharpening pencil 371
373
+ dribbling basketball 372
374
+ petting cat 373
375
+ playing ice hockey 374
376
+ milking cow 375
377
+ shining shoes 376
378
+ juggling soccer ball 377
379
+ scuba diving 378
380
+ playing squash or racquetball 379
381
+ drinking beer 380
382
+ sign language interpreting 381
383
+ playing basketball 382
384
+ breakdancing 383
385
+ testifying 384
386
+ making snowman 385
387
+ golf putting 386
388
+ playing didgeridoo 387
389
+ biking through snow 388
390
+ sailing 389
391
+ jumpstyle dancing 390
392
+ water sliding 391
393
+ grooming horse 392
394
+ massaging feet 393
395
+ playing paintball 394
396
+ making a cake 395
397
+ bowling 396
398
+ contact juggling 397
399
+ applying cream 398
400
+ playing badminton 399
VBench/pretrained/umt_model/model_path.txt ADDED
@@ -0,0 +1 @@
 
 
1
+ wget https://pjlab-gvm-data.oss-cn-shanghai.aliyuncs.com/umt/single_modality/l16_ptk710_ftk710_ftk400_f16_res224.pth -P ~/.cache/vbench/umt_model/
VBench/pretrained/viclip_model/model_path.txt ADDED
@@ -0,0 +1 @@
 
 
1
+ wget https://pjlab-gvm-data.oss-cn-shanghai.aliyuncs.com/internvideo/viclip/ViClip-InternVid-10M-FLT.pth -P ~/.cache/vbench/ViCLIP
VBench/prompts/README.md ADDED
@@ -0,0 +1,95 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ # :bookmark_tabs: Prompt Suite
2
+
3
+ We design compact yet representative prompts in terms of both the evaluation dimensions and the content categories.
4
+
5
+
6
+ ## Prompts per Dimension
7
+ `prompts/prompts_per_dimension`: For each VBench evaluation dimension, we carefully designed a set of around 100 prompts as the test cases.
8
+ We provide a combined list `prompts/all_dimension.txt`, which combines all the prompts under `prompts/prompts_per_dimension`.
9
+
10
+ ## Prompts per Category
11
+ `prompts/prompts_per_category`: 100 prompts for each of the 8 content categories: `Animal`, `Architecture`, `Food`, `Human`, `Lifestyle`, `Plant`, `Scenery`, `Vehicles`.
12
+ We provide a combined list `prompts/all_category.txt`, which combines all the prompts under `prompts/prompts_per_category`.
13
+
14
+ ## Metadata
15
+ `prompts/metadata`: metadata for some prompt lists, such as the `color` and `object_class` labels for prompts that need to be semantically parsed.
16
+
17
+
18
+ # How to Sample Videos for Evaluation
19
+
20
+ We specify how to sample from `Prompts per Category` for VBench evaluation, and that for `Prompts per Category` can be carried out similarly.
21
+
22
+
23
+ ## Evaluate Some Dimensions
24
+
25
+ ### Pseudo-Code for Sampling
26
+ - If you only want to evaluate certain dimensions, below are the pseudo-code for sampling.
27
+ ```
28
+ dimension_list = ['object_class', 'overall_consistency']
29
+
30
+ for dimension in dimension_list:
31
+
32
+ # set random seed
33
+ if args.seed:
34
+ torch.manual_seed(args.seed)
35
+
36
+ # read prompt list
37
+ with open(f'./prompts/prompts_per_dimension/{dimension}.txt', 'r') as f:
38
+ prompt_list = f.readlines()
39
+ prompt_list = [prompt.strip() for prompt in prompt_list]
40
+
41
+ for prompt in prompt_list:
42
+
43
+ # sample 5 videos for each prompt
44
+ for index in range(5):
45
+
46
+ # perform sampling
47
+ video = sample_func(prompt, index)
48
+ cur_save_path = f'{args.save_path}/{prompt}-{index}.mp4'
49
+ torchvision.io.write_video(cur_save_path, video, fps=8)
50
+ ```
51
+
52
+ ### Further Explanations
53
+
54
+ To sample videos for VBench evaluation:
55
+ - Sample videos from all the `txt` files in `prompts/prompts_per_dimension`.
56
+ - For each prompt, sample 5 videos.
57
+ - **Random Seed**: At the beginning of sampling from each `txt` file, set the random seed. For some models, the random seed is independently and randomly drawn for each video sample, and this is also acceptable, but it would be the best to record the random seed of every video being sampled. We need to ensure: (1) The random seeds are random, and not cherry picked. (2) The sampling process is reproducible, so that the evaluation results are reproducible.
58
+ - Name the videos in the form of `$prompt-$index.mp4`, `$index` takes value of `0, 1, 2, 3, 4`. For example:
59
+ ```
60
+ ├── A 3D model of a 1800s victorian house.-0.mp4
61
+ ├── A 3D model of a 1800s victorian house.-1.mp4
62
+ ├── A 3D model of a 1800s victorian house.-2.mp4
63
+ ├── A 3D model of a 1800s victorian house.-3.mp4
64
+ ├── A 3D model of a 1800s victorian house.-4.mp4
65
+ ├── A beautiful coastal beach in spring, waves lapping on sand by Hokusai, in the style of Ukiyo-0.mp4
66
+ ├── A beautiful coastal beach in spring, waves lapping on sand by Hokusai, in the style of Ukiyo-1.mp4
67
+ ├── A beautiful coastal beach in spring, waves lapping on sand by Hokusai, in the style of Ukiyo-2.mp4
68
+ ├── A beautiful coastal beach in spring, waves lapping on sand by Hokusai, in the style of Ukiyo-3.mp4
69
+ ├── A beautiful coastal beach in spring, waves lapping on sand by Hokusai, in the style of Ukiyo-4.mp4
70
+ ......
71
+ ```
72
+ ## Evaluate All Dimensions
73
+
74
+ - If you want to evaluate all the dimensions, below are the pseudo-code for sampling.
75
+ ```
76
+ # set random seed
77
+ if args.seed:
78
+ torch.manual_seed(args.seed)
79
+
80
+ # read prompt list
81
+ with open(f'./prompts/all_dimension.txt', 'r') as f:
82
+ prompt_list = f.readlines()
83
+ prompt_list = [prompt.strip() for prompt in prompt_list]
84
+
85
+ for prompt in prompt_list:
86
+
87
+ # sample 5 videos for each prompt
88
+ for index in range(5):
89
+
90
+ # perform sampling
91
+ video = sample_func(prompt, index)
92
+ cur_save_path = f'{args.save_path}/{prompt}-{index}.mp4'
93
+ torchvision.io.write_video(cur_save_path, video, fps=8)
94
+ ```
95
+
VBench/prompts/all_category.txt ADDED
@@ -0,0 +1,800 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ a black dog wearing halloween costume
2
+ spider making a web
3
+ bat eating fruits while hanging
4
+ a snake crawling on a wooden flooring
5
+ a close up video of a dragonfly
6
+ macro shot of ladybug on green leaf plant
7
+ chameleon eating ant
8
+ a bee feeding on nectars
9
+ bird nests on a tree captured with moving camera
10
+ a squirrel eating nuts
11
+ close up video of snail
12
+ top view of a hermit crab crawling on a wooden surface
13
+ cat licking another cat
14
+ red dragonfly perched on green leaf
15
+ close up view of a brown caterpillar crawling on green leaf
16
+ ants eating dead spider
17
+ an eagle on a tree branch
18
+ a frog eating an ant
19
+ white rabbit near the fence
20
+ a gorilla eating a carrot
21
+ close up of wolf
22
+ a meerkat looking around
23
+ a hyena in a zoo
24
+ lemur eating grass leaves
25
+ an owl being trained by a man
26
+ a lizard on a bamboo
27
+ brown chicken hunting for its food
28
+ video of parrots perched on bird stand
29
+ underwater footage of an octopus in a coral reef
30
+ a cute pomeranian dog playing with a soccer ball
31
+ white fox on rock
32
+ close up footage of a horse figurine
33
+ giraffe feeding on a tree in a savannah
34
+ curious cat sitting and looking around
35
+ hummingbird hawk moth flying near pink flowers
36
+ close up of a scorpion on a rock
37
+ close up on fish in net
38
+ koala eating leaves from a branch
39
+ a pod of dolphins swirling in the sea catching forage fish
40
+ low angle view of a hawk perched on a tree branch
41
+ a lion standing on wild grass
42
+ deer grazing in the field
43
+ elephant herd in a savanna
44
+ close up on lobster under water
45
+ hedgehog crossing road in forest
46
+ a sheep eating yellow flowers from behind a wire fence
47
+ twin sisters and a turtle
48
+ a pig wallowing in mud
49
+ flock of goose eating on the lake water
50
+ cow in a field irritated with flies
51
+ a close up shot of a fly
52
+ cheetah lying on the grass
53
+ close up of a lemur
54
+ close up shot of a kangaroo itching in the sand
55
+ a tortoise covered with algae
56
+ turkey in cage
57
+ a great blue heron bird in the lakeside
58
+ crab with shell in aquarium
59
+ a seagull walking on shore
60
+ an american crocodile
61
+ a tiger walking inside a cage
62
+ alligator in the nature
63
+ a raccoon climbing a tree
64
+ wild rabbit in a green meadow
65
+ group of ring tailed lemurs
66
+ a clouded leopard on a tree branch
67
+ duck grooming its feathers
68
+ an african penguin walking on a beach
69
+ a video of a peacock
70
+ close up shot of a wild bear
71
+ baby rhino plays with mom
72
+ porcupine climbs tree branches
73
+ close up of a natterjack toad on a rock
74
+ a sleeping orangutan
75
+ mother whale swimming with babies
76
+ a bear wearing red jersey
77
+ pink jellyfish swimming underwater in a blue sea
78
+ beautiful clown fish swimming
79
+ animation of disposable objects shaped as a whale
80
+ paper cut out of a pair of hands a whale and a heart
81
+ vertical video of camel roaming in the field during daytime
82
+ a still video of mosquito biting human
83
+ a curious sloth hanging from a tree branch
84
+ a plastic flamingo bird stumbles from the wind
85
+ a wolf in its natural habitat
86
+ a monkey sitting in the stone and scratching his head
87
+ bat hanging upside down
88
+ a red panda eating leaves
89
+ snake on ground
90
+ a harbour seal swimming near the shore
91
+ shark swimming in the sea
92
+ otter on branch while eating
93
+ goat standing over a rock
94
+ a troop of monkey on top of a mountain
95
+ a zebra eating grass on the field
96
+ a colorful butterfly perching on a bud
97
+ a snail crawling on a leaf
98
+ zookeeper showering a baby elephant
99
+ a beetle emerging from the sand
100
+ a nine banded armadillo searching for food
101
+ an apartment building with balcony
102
+ asian garden and medieval castle
103
+ illuminated tower in berlin
104
+ a wooden house overseeing the lake
105
+ a crowd of people in a plaza in front of a government building
106
+ a church interior
107
+ jewish friends posing with hanukkah menorah in a cabin house
108
+ a destroyed building after a missile attack in ukraine
109
+ abandoned building in the woods
110
+ drone video of an abandoned school building in pripyat ukraine
111
+ elegant university building
112
+ architecture and designs of buildings in central london
113
+ a pancake tower with chocolate syrup and strawberries on top
114
+ an ancient white building
115
+ friends hanging out at a coffee house
116
+ house front door with christmas decorations
117
+ city night dark building
118
+ a bird house hanging on a tree branch
119
+ sacred sculpture in a temple
120
+ high angle shot of a clock tower
121
+ modern wooden house interior
122
+ the interior of an abandoned building
123
+ opera house overlooking sea
124
+ a concrete structure near the green trees
125
+ dome like building in scotland
126
+ low angle shot of a building
127
+ tower on hill
128
+ a miniature house
129
+ eiffel tower from the seine river
130
+ low angle footage of an apartment building
131
+ island with pier and antique building
132
+ asian historic architecture
133
+ drone footage of a beautiful mansion
134
+ mosque in the middle east
135
+ building a tent and hammock in the forest camping site
136
+ top view of a high rise building
137
+ house covered in snow
138
+ skyscraper at night
139
+ house in village
140
+ a casino with people outside the building
141
+ silhouette of a building
142
+ a woman climbing a tree house
143
+ drone view of house near lake during golden hour
144
+ an under construction concrete house
145
+ a watch tower by the sea
146
+ exterior view of arabic style building
147
+ video of a hotel building
148
+ red paper lantern decorations hanging outside a building
149
+ house on seashore
150
+ aerial footage of the palace of culture and science building in warsaw poland
151
+ aerial video of stuttgart tv tower in germany
152
+ aerial view of the highway and building in a city
153
+ drone shot of a skyscraper san francisco california usa
154
+ waterfall and house
155
+ view of the sky through a building
156
+ drone footage of a house on top of the mountain
157
+ abandoned house in the nature
158
+ clouds hovering over a mansion
159
+ light house on the ocean
160
+ buddhist temple at sunrise
161
+ people walking by a graveyard near a mosque at sunset
162
+ view of lifeguard tower on the beach
163
+ scenic view of a house in the mountains
164
+ the landscape in front of a government building
165
+ aerial footage of a building and its surrounding landscape in winter
166
+ time lapse of a cloudy sky behind a transmission tower
167
+ blue ocean near the brown castle
168
+ fog over temple
169
+ house in countryside top view
170
+ building under construction
171
+ turkish flag waving on old tower
172
+ the georgian building
173
+ close up shot of a steel structure
174
+ the atrium and interior design of a multi floor building
175
+ city view reflected on a glass building
176
+ aerial view of a luxurious house with pool
177
+ an unpaved road leading to the house
178
+ drone footage of a lookout tower in mountain landscape
179
+ wind turbines on hill behind building
180
+ time lapse footage of the sun light in front of a small house porch
181
+ a building built with lots of stairways
182
+ overcast over house on seashore
183
+ the view of the sydney opera house from the other side of the harbor
184
+ candle on a jar and a house figurine on a surface
185
+ video of a farm and house
186
+ a dilapidated building made of bricks
187
+ a view of a unique building from a moving vehicle
188
+ aerial footage of a tall building in cambodia
189
+ push in shot of a huge house
190
+ a beach house built over a seawall protected from the sea waves
191
+ exotic house surrounded by trees
192
+ drone video of a house surrounded by tropical vegetation
193
+ drone footage of a building beside a pond
194
+ observation tower on hill in forest
195
+ a tree house in the woods
196
+ a video of vessel structure during daytime
197
+ fire in front of illuminated building at night
198
+ a footage of a wooden house on a wheat field
199
+ tilt shot of a solar panel below a light tower
200
+ water tower on the desert
201
+ freshly baked finger looking cookies
202
+ video of fake blood in wine glass
203
+ halloween food art
204
+ a person slicing a vegetable
205
+ a serving of pumpkin dish in a plate
206
+ close up view of green leafy vegetable
207
+ a birthday cake in the plate
208
+ video of a slice papaya fruit
209
+ a muffin with a burning candle and a love sign by a ceramic mug
210
+ a jack o lantern designed cookie
211
+ baked bread with chocolate
212
+ a broccoli soup on wooden table
213
+ a freshly brewed coffee on a pink mug
214
+ grabbing sourdough neapolitan style pizza slices
215
+ person cooking mushrooms in frying pan
216
+ rice grains placed on a reusable cloth bag
217
+ slices of kiwi fruit
218
+ grilling a steak on a pan grill
219
+ close up of bread popping out of a toaster
220
+ man eating noodle
221
+ preparing a cocktail drink
222
+ close up pasta with bacon on plate
223
+ milk and cinnamon rolls
224
+ boy getting a dumpling using chopsticks
225
+ a mother preparing food with her kids
226
+ man using his phone while eating
227
+ fresh salmon salad on a plate
228
+ cutting cucumbers into long thin slices as ingredient for sushi roll
229
+ a steaming cup of tea by the window
230
+ a glass filled with beer
231
+ a kid eating popcorn while watching tv
232
+ close up shot of fried fish on the plate
233
+ a man eating a donut
234
+ person making a vegetarian dish
235
+ spreading cheese on bagel
236
+ close up view of a man drinking red wine
237
+ a couple having breakfast in a restaurant
238
+ a student eating her sandwich
239
+ girl peeling a banana
240
+ red rice in a small bowl
241
+ pancake with blueberry on the top
242
+ green apple fruit on white wooden table
243
+ a man eating a taco by the bar
244
+ making of a burrito
245
+ squeezing lemon into salad
246
+ a chef cutting sushi rolls
247
+ video of a delicious dessert
248
+ deep frying a crab on a wok in high fire
249
+ close up video of a orange juice
250
+ video of a cooked chicken breast
251
+ woman holding a pineapple
252
+ a woman eating a bar of chocolate
253
+ decorating christmas cookie
254
+ squeezing a slice of fruit
255
+ tuna sashimi on a plate
256
+ a strawberry fruit mixed in an alcoholic drink
257
+ preparing hot dogs in a grill
258
+ a woman cutting a tomato
259
+ an orange fruit cut in half
260
+ a coconut fruit with drinking straw
261
+ woman holding a dragon fruit
262
+ a woman pouring hot beverage on a cup
263
+ waffles with whipped cream and fruit
264
+ focus shot of an insect at the bottom of a fruit
265
+ preparing a healthy broccoli dish
266
+ man eating snack at picnic
267
+ close up video of a grilled shrimp skewer
268
+ a woman mixing a smoothie drinks
269
+ close up video of woman having a bite of jelly
270
+ businessman drinking whiskey at the bar counter of a hotel lounge
271
+ cutting an onion with a knife over a wooden chopping board
272
+ fresh lemonade in bottles
273
+ grilling a meat on a charcoal grill
274
+ people enjoying asian cuisine
275
+ close up footage of a hot dish on a clay pot
276
+ pork ribs dish
277
+ waffle with strawberry and syrup for breakfast
278
+ tofu dish with rose garnish
279
+ uncooked pork meat
280
+ egg yolk being dumped over gourmet dish
281
+ tasty brunch dish close up
282
+ little boy pretending to eat the watermelon
283
+ slicing roasted beef
284
+ close up of a chef adding teriyaki sauce to a dish
285
+ flat lay mexican dish
286
+ a person placing an octopus dish on a marble surface
287
+ close up of tea leaves brewing in a glass kettle
288
+ adding fresh herbs to soup dish
289
+ a scoop of roasted coffee beans
290
+ fresh dim sum set up on a bamboo steam tray for cooking
291
+ a girl putting ketchup on food at the kitchen
292
+ cooking on electric stove
293
+ a woman with a slice of a pie
294
+ grapes and wine on a wooden board
295
+ man taking picture of his food
296
+ hamburger and fries on restaurant table
297
+ close up video of japanese food
298
+ a cracker sandwich with cheese filling for snack
299
+ barista preparing matcha tea
300
+ close up of onion rings being deep fried
301
+ people carving a pumpkin
302
+ people sitting on a sofa
303
+ a man with a muertos face painting
304
+ man walking in the dark
305
+ men in front of their computer editing photos
306
+ men loading christmas tree on tow truck
307
+ woman washing the dishes
308
+ woman adding honey to the cinnamon rolls
309
+ two women kissing and smiling
310
+ three women looking at watercolor paintings
311
+ a family wearing paper bag masks
312
+ a family posing for the camera
313
+ a boy covering a rose flower with a dome glass
314
+ boy sitting on grass petting a dog
315
+ a girl in her tennis sportswear
316
+ a girl coloring the cardboard
317
+ silhouette of the couple during sunset
318
+ couple dancing with body paint
319
+ a child playing with water
320
+ a woman with her child sitting on a couch in the living room
321
+ a group of friend place doing hand gestures of agreement
322
+ friends having a group selfie
323
+ friends talking while on the basketball court
324
+ group of people protesting
325
+ a group of campers with a cute dog
326
+ a group of photographers taking pictures at the north western gardens in llandudno north wales
327
+ a group of students laughing and talking
328
+ a group of martial artist warming up
329
+ a person playing golf
330
+ a person walking on a wet wooden bridge
331
+ person doing a leg exercise
332
+ ice hockey athlete on rink
333
+ a young athlete training in swimming
334
+ chess player dusting a chessboard
335
+ baseball player holding his bat
336
+ a bearded man putting a vinyl record on a vinyl player
337
+ an orchestra finishes a performance
338
+ people applauding the performance of the kids
339
+ band performance at the recording studio
340
+ father and his children playing jenga game
341
+ people playing a board game
342
+ man playing a video game
343
+ a man video recording the movie in theater
344
+ man and a woman eating while watching a movie
345
+ movie crew talking together
346
+ a director explaining the movie scene
347
+ man and woman listening to music on car
348
+ man playing music
349
+ couple dancing slow dance with sun glare
350
+ a ballerina practicing in the dance studio
351
+ father and son holding hands
352
+ father and daughter talking together
353
+ a mother and her kids engaged in a video call
354
+ mother and daughter reading a book together
355
+ a mother teaching her daughter playing a violin
356
+ kid in a halloween costume
357
+ a happy kid playing the ukulele
358
+ a chef slicing a cucumber
359
+ chef wearing his gloves properly
360
+ brother and sister using hammock
361
+ girl applying sunblock to her brother
362
+ a girl pushing the chair while her sister is on the chair
363
+ colleagues talking in office building
364
+ fighter practice kicking
365
+ a woman fighter in her cosplay costume
366
+ an engineer holding blueprints while talking with her colleague
367
+ a young woman looking at vr controllers with her friend
368
+ workmates teasing a colleague in the work
369
+ a male police officer talking on the radio
370
+ teacher holding a marker while talking
371
+ teacher writing on her notebook
372
+ a young student attending her online classes
373
+ a student showing his classmates his wand
374
+ a male vendor selling fruits
375
+ a shirtless male climber
376
+ a sound engineer listening to music
377
+ female talking to a psychiatrist in a therapy session
378
+ young female activist posing with flag
379
+ a man in a hoodie and woman with a red bandana talking to each other and smiling
380
+ a medium close up of women wearing kimonos
381
+ a male interviewer listening to a person talking
382
+ a social worker having a conversation with the foster parents
383
+ a farm worker harvesting onions
384
+ worker packing street food
385
+ worker and client at barber shop
386
+ elderly man lifting kettlebell
387
+ mom assisting son in riding a bicycle
388
+ dad watching her daughter eat
389
+ young guy with vr headset
390
+ pregnant woman exercising with trainer
391
+ a fortune teller talking to a client
392
+ wizard doing a ritual on a woman
393
+ a footage of an actor on a movie scene
394
+ a man holding a best actor trophy
395
+ a singer of a music band
396
+ a young singer performing on stage
397
+ young dancer practicing at home
398
+ seller showing room to a couple
399
+ cab driver talking to passenger
400
+ a policeman talking to the car driver
401
+ kids celebrating halloween at home
402
+ little boy helping mother in kitchen
403
+ video of a indoor green plant
404
+ a girl arranges a christmas garland hanging by the kitchen cabinet
405
+ candle burning in dark room
406
+ couple having fun and goofing around the bedroom
407
+ girls jumping up and down in the bedroom
408
+ woman and man in pajamas working from home
409
+ a muslim family sitting and talking in the living room
410
+ family enjoying snack time while sitting in the living room
411
+ woman holding an animal puppet and a little girl playing together at the living room
412
+ kids playing in the indoor tent
413
+ young people celebrating new year at the office
414
+ a woman writing on the sticky note in the office
415
+ a woman exercising at home over a yoga mat
416
+ girls preparing easter decorations at home
417
+ dog on floor in room
418
+ turning on a fluorescent light inside a room
419
+ colleagues talking to each other near the office windows
420
+ a woman recording herself while exercising at home
421
+ music room
422
+ different kind of tools kept in a utility room
423
+ sofa beds and other furniture
424
+ a girl finding her brother reading a book in the bedroom
425
+ an elegant ceramic plant pot and hanging plant on indoor
426
+ furniture inside a bedroom
427
+ interior design of the bar section
428
+ living room with party decoration
429
+ firewood burning in dark room
430
+ a young woman playing the ukulele at home
431
+ woman painting at home
432
+ a woman in a locker room
433
+ video of a bathroom interior
434
+ the interior design of a jewish synagogue
435
+ a woman in protective suit disinfecting the kitchen
436
+ modern minimalist home interior
437
+ modern interior design of a coffee shop
438
+ person arranging minimalist furniture
439
+ aerial shot of interior of the warehouse
440
+ a room of a manufacturing facility
441
+ interior of catholic
442
+ interior design of a restaurant
443
+ a female model in a changing room looking herself in mirror
444
+ men walking in the office hallway
445
+ people sitting in a conference room
446
+ the interior design of a shopping mall
447
+ chandeliers in room
448
+ lucerne railway station interior
449
+ a female fencer posing in a foggy room
450
+ a toolbox and a paint roller beside a huge package in a room
451
+ bedroom in hotel
452
+ a woman lying in the operating room
453
+ a chef holding and checking kitchen utensils
454
+ a couple singing in the shower room together
455
+ a woman cleaning mess in the living room
456
+ an empty meeting room with natural light
457
+ person dancing in a dark room
458
+ close up on blood in hospital room
459
+ a couple resting on their home floor
460
+ a young female staff at courier office
461
+ a man entering the gym locker room
462
+ a bored man sitting by the tv at home
463
+ woman dancing in indoor garden
464
+ rubble in the interior of an abandoned house
465
+ indoor farm in a greenhouse
466
+ man doing handstand in indoor garden
467
+ an abandoned indoor swimming pool
468
+ home decorations on top of a cabinet
469
+ graffiti art on the interior walls of an abandoned mansion
470
+ indoor wall climbing activity
471
+ sunlight inside a room
472
+ teenage girl roller skating at indoor rink
473
+ home deco with lighted
474
+ baby in the shower room
475
+ men enjoying office christmas party
476
+ a bedroom with a brick wall
477
+ actors prepping in the dressing room
478
+ kids playing at an indoor playground
479
+ a person sanitizing an office space using smoke machine
480
+ mother and daughter choosing clothes at home
481
+ a woman sitting by the indoor fire pit
482
+ man standing on the corner of the room while looking around
483
+ person assembling furniture
484
+ a family stacking cardboard boxes in a room
485
+ family having fun in the dining room
486
+ person disinfecting a room
487
+ a woman washing strawberries in the kitchen sink
488
+ modern office waiting room
489
+ close up view of a person slicing with a kitchen knife
490
+ boiling coffee on a stove in the kitchen
491
+ modern equipment used in a home studio
492
+ interior of a recording studio
493
+ people working in a call center office
494
+ band performing at a home concert
495
+ a group of people watching a concert in a room
496
+ people packing their furniture
497
+ young employees in office holding a certificate
498
+ a criminal inside a dark room handcuffed in a table
499
+ couple browsing and looking for furniture in the store
500
+ workspace at home
501
+ video of a indoor green plant
502
+ close up view of a plant
503
+ close up shot of a burning plant
504
+ plucking leaves from plant
505
+ a plant on gold pot with glass lid
506
+ a branch of a tree and a plant
507
+ a leafless tree
508
+ close up shot of fern leaf
509
+ close up video of strawberry plant
510
+ plant with blooming flowers
511
+ close up video of flower petals
512
+ watering yellow plant
513
+ beautiful flower decoration
514
+ cannabis flower in a jar
515
+ a footage of the tree leaves
516
+ a red leaf plant
517
+ close up view of a white christmas tree
518
+ snow pouring on a tree
519
+ close up shot of white flowers on the tree
520
+ leaves in the trees daytime
521
+ a dead tree lying on a grass field
522
+ tree branches in a flowing river
523
+ purple flowers with leaves
524
+ a coconut tree by the house
525
+ close up on flower in winter
526
+ bamboo leaves backlit by the sun
527
+ close up video of a wet flower
528
+ a man putting a flower in a box
529
+ dropping flower petals on a wooden bowl
530
+ a close up shot of gypsophila flower
531
+ variety of succulent plants on a garden
532
+ variety of trees and plants in a botanical garden
533
+ forest of deciduous trees
534
+ a stack of dried leaves burning in a forest
535
+ tall forest trees on a misty morning
536
+ close up view of dewdrops on a leaf
537
+ close up view of white petaled flower
538
+ removing a pineapple leaf
539
+ a dragonfly perched on a leaf
540
+ butterfly pollinating flower
541
+ person visiting and checking a corn plant
542
+ woman picking beans from a plant
543
+ woman plucking mint leaves
544
+ single tree in the middle of farmland
545
+ a plant on a soil
546
+ drone footage of a tree on farm field
547
+ a tractor harvesting lavender flower
548
+ people putting christmas ornaments on a christmas tree
549
+ jack o lantern hanging on a tree
550
+ tree with halloween decoration
551
+ flower field near the waterfall
552
+ truck carrying the tree logs
553
+ raindrops falling on leaves
554
+ shot of a palm tree swaying with the wind
555
+ squirrels on a tree branch
556
+ person holding a flower
557
+ a fallen tree trunk
558
+ tree with golden leaves
559
+ cherry tree
560
+ wind blows through leaves of the tree in autumn
561
+ a leaf on a glass
562
+ the long trunks of tall trees in the forest
563
+ trees in the forest during sunny day
564
+ close up video of tree bark
565
+ reflection of tree branches
566
+ trunks of many trees in the forest
567
+ tree leaves providing shades from the sun
568
+ leaves swaying in the wind
569
+ low angle shot of baobab tree
570
+ bare trees in forest
571
+ a plant surrounded by fallen leaves
572
+ a couple preparing food and pruning a plant
573
+ a man cutting a tree bark
574
+ oranges on a tree branch
575
+ plant connected on the stones
576
+ video of a sawmill machine cutting tree log
577
+ women drying flower petals
578
+ macro view of an agave plant
579
+ a video of a person tying a plant on a string
580
+ green moss in forest nature
581
+ coconut tree near sea under blue sky
582
+ the canopy of a coconut tree
583
+ a man leaning on a tree at the beach
584
+ a full grown plant on a pot
585
+ candle wax dripping on flower petals
586
+ close up of leaves in autumn
587
+ a woman opening a book with a flower inside
588
+ a man holding leaves looking at the camera
589
+ a shadow of a swaying plant
590
+ a tree and concrete structure under a blue and cloudy sky
591
+ trimming excess leaves on a potted plant
592
+ the changing color of the tree leaves during autumn season
593
+ a gooseberry tree swayed by the wind
594
+ forest trees and a medieval castle at sunset
595
+ woman cut down tree
596
+ an old oak tree in a park across the street from a hotel
597
+ wild flowers growing in a forest ground
598
+ a mossy fountain and green plants in a botanical garden
599
+ mansion with beautiful garden
600
+ ants on a dragon fruit flower
601
+ scenery of desert landscape
602
+ landscape agriculture farm tractor
603
+ burning slash piles in the forest
604
+ graveyard at sunset
605
+ view of a jack o lantern with pumpkins in a smoky garden
606
+ sun view through a spider web
607
+ view of the sea from an abandoned building
608
+ close up view of a full moon
609
+ close up view of lighted candles
610
+ close up view of swaying white flowers and leaves
611
+ scenery of a relaxing beach
612
+ selective focus video of grass during sunny day
613
+ aerial view of brown dry landscape
614
+ fireworks display in the sky at night
615
+ a bonfire near river
616
+ mountain view
617
+ waterfalls in between mountain
618
+ a picturesque view of nature
619
+ exotic view of a riverfront city
620
+ tall trees in the forest under the clear sky
621
+ snow on branches in forest
622
+ stream in the nature
623
+ an airplane flying above the sea of clouds
624
+ scenic video of sunset
625
+ view of houses with bush fence under a blue and cloudy sky
626
+ scenic view from wooden pathway
627
+ scenic view of a tropical beach
628
+ drone footage of waves crashing on beach shore
629
+ a scenic view of the golden hour at norway
630
+ time lapse video of foggy mountain forest
631
+ brown mountain during fall season
632
+ video of ocean during daytime
633
+ boat sailing in the ocean
634
+ top view of yachts
635
+ beautiful scenery of flowing waterfalls and river
636
+ wild ducks paddling on the lake surface
637
+ a relaxing scenery of beach view under cloudy sky
638
+ natural rock formations on beach under cloudy sky
639
+ a palm tree against blue sky
640
+ video of sailboat on a lake during sunset
641
+ aerial view of snow piles
642
+ time lapse of a sunset sky in the countryside
643
+ aerial footage of a statue
644
+ time lapse video of a farm during sunset
645
+ clouds formation in the sky at sunset
646
+ aerial shot of a village
647
+ drone shot of a beautiful sunrise at the mountains
648
+ time lapse video of foggy morning during sunrise
649
+ sun shining between tree leaves at sunrise
650
+ video of lake during dawn
651
+ vehicles traveling on roadway under cloudy sky
652
+ view of golden domed church
653
+ a monument under the blue sky
654
+ firecrackers in the sky
655
+ view of fruit signage in the farm
656
+ a dark clouds over shadowing the full moon
657
+ view of the amazon river
658
+ a big river swamp in a dense forest
659
+ a blooming cherry blossom tree under a blue sky with white clouds
660
+ a river waterfall cascading down the plunge basin
661
+ flooded landscape with palm trees
662
+ a blurry waterfall background
663
+ waterfall in the mountains
664
+ aerial footage of a city at night
665
+ pond by small waterfall in forest
666
+ aerial view of farmlands at the bay of lake
667
+ rice terraces in the countryside
668
+ a highway built across an agricultural area in the countryside
669
+ gloomy morning in the countryside
670
+ drone shot of an abandoned coliseum on a snowy mountain top
671
+ boat sailing in the middle of ocean
672
+ drone shot of the grass field
673
+ natural landscape of mountain and sea with islets developed into a community
674
+ aerial view of zaporizhia in ukraine
675
+ aerial footage of a herd
676
+ an aerial footage of a red sky
677
+ grass and plants growing in the remains of an abandoned house
678
+ view from hill on city
679
+ aerial view on orthodox church
680
+ aerial view of bay in croatia
681
+ a footage of a frozen river
682
+ overlooking view of a city at daylight
683
+ view outside the cemetery
684
+ clear sky with moon over meadow
685
+ clouds over railway
686
+ aerial footage of moving vehicles on the road at night
687
+ aerial view of town and park
688
+ top view of skyscrapers
689
+ top view of the empire state building in manhattan
690
+ top view of the central park in new york city
691
+ sheep running in a grass field
692
+ clear sky over factory
693
+ smoke and fire in birds eye view
694
+ view of a pathway with snow melting on its side
695
+ ferry under bridge on river near city in malaysia
696
+ mountain slopes covered in green vegetation
697
+ panoramic view of a town surrounded by snow covered mountains
698
+ aerial view of a palace
699
+ top view of vehicles driving on the intersection
700
+ a graveyard by a church in a mountain landscape
701
+ a modern railway station in malaysia use for public transportation
702
+ drone footage of amsterdam metro station
703
+ train arriving at a station
704
+ red vehicle driving on field
705
+ close up view of flashing emergency vehicle lighting
706
+ vehicle with fertilizer on field
707
+ a highway built across an agricultural area in the countryside
708
+ drone footage of motorcycles driving on country road between agricultural fields
709
+ a road in the woods under fog
710
+ footage of a car driving through a wheat field
711
+ vehicle stops for an ambulance passing through city traffic
712
+ emergency vehicle parked outside the casino
713
+ zombies attacking a woman and a boy inside a car
714
+ woman seating inside the car while chewing
715
+ video of passengers riding a double decker bus during night
716
+ traffic in london street at night
717
+ elderly couple checking engine of automobile
718
+ a green vintage automobile with an open hood parked in a parking area
719
+ close up of a prototype automobile with exposed engine on the back seat of the car
720
+ aerial view of road in forest
721
+ train departing from station
722
+ aerial view of a train passing by a bridge
723
+ video of a train tracks
724
+ video footage of a subway
725
+ video of blinking traffic lights
726
+ couple walking out on the subway
727
+ time lapse of a subway tunnel
728
+ monitor board inside the subway
729
+ metro train at night
730
+ zoom in video of a tram passing by city
731
+ young man using laptop in the tram
732
+ man reading a book at bus stop
733
+ close up shot of a moving taxi
734
+ night travel in london street on a public bus
735
+ red bus in a rainy city
736
+ flow of traffic in the city
737
+ close up shot of a yellow taxi turning left
738
+ two women calling for a taxi
739
+ drone view of an illuminated bridge across a river
740
+ policeman in police car talking on radio
741
+ airplane taking off at night
742
+ view through window in airplane
743
+ an airplane in the sky
744
+ helicopter landing on the street
745
+ a pilot getting out of a helicopter
746
+ a helicopter flying under blue sky
747
+ boat sailing in the middle of the ocean
748
+ girl playing with a toy boat
749
+ silhouette of a boat on sea during golden hour
750
+ a boat travelling around the lake
751
+ road on mountain ridge
752
+ ship sailing on danube river
753
+ slow motion video of a ship water trail in the sea
754
+ drone footage of a wreck ship on shore
755
+ a white yacht traveling on a river and passing under the bridge
756
+ female teenagers drinking champagne in the yacht
757
+ video of yacht sailing in the ocean
758
+ red combine harvester on road on field
759
+ a woman sitting on a bicycle while using a mobile phone
760
+ a woman sitting on a motorcycle looking around
761
+ three teenagers fixing a bicycle
762
+ a woman in a halloween costume posing on a motorcycle
763
+ a parked motorcycle on a foggy roadside
764
+ cable car near sea shore
765
+ a truck travelling in the road
766
+ footage of the road without any traffic
767
+ a road sign
768
+ love padlocks on a bridge
769
+ camera moving at highway construction site
770
+ vehicles driving on highway
771
+ a motorbike on highway at timelapse mode
772
+ point of view of a car driving through a tunnel
773
+ time lapse of heavy traffic on an avenue
774
+ ferry boat on city canal
775
+ black vintage car in museum
776
+ a zigzag road across a forest
777
+ people crossing the road
778
+ video of a kayak boat in a river
779
+ a person paddling a wooden boat in a lake
780
+ a car charging in the parking area
781
+ cars parked on the road
782
+ footage of the street with people and vehicle passing by in the rain
783
+ traffic on busy city street
784
+ a woman getting out of the car to walk with their dog
785
+ yacht sailing through the ocean
786
+ people in queue to military ship
787
+ man wearing motorcycle helmet looking at the camera
788
+ empty seats in the bus
789
+ empty boat on the water
790
+ cargo train traveling on the mountainside
791
+ cruise ship in harbor
792
+ counting down at traffic lights
793
+ pressing the car ignition
794
+ fire truck driving on the road
795
+ a footage of a broken bicycle
796
+ drone footage of an ambulance on the road
797
+ slow motion footage of a racing car
798
+ ship sailing on sea against sunset
799
+ big cargo ship passing on the shore
800
+ back view of man and woman walking on unpaved road
VBench/prompts/all_dimension.txt ADDED
@@ -0,0 +1,946 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ In a still frame, a stop sign
2
+ a toilet, frozen in time
3
+ a laptop, frozen in time
4
+ A tranquil tableau of alley
5
+ A tranquil tableau of bar
6
+ A tranquil tableau of barn
7
+ A tranquil tableau of bathroom
8
+ A tranquil tableau of bedroom
9
+ A tranquil tableau of cliff
10
+ In a still frame, courtyard
11
+ In a still frame, gas station
12
+ A tranquil tableau of house
13
+ indoor gymnasium, frozen in time
14
+ A tranquil tableau of indoor library
15
+ A tranquil tableau of kitchen
16
+ A tranquil tableau of palace
17
+ In a still frame, parking lot
18
+ In a still frame, phone booth
19
+ A tranquil tableau of restaurant
20
+ A tranquil tableau of tower
21
+ A tranquil tableau of a bowl
22
+ A tranquil tableau of an apple
23
+ A tranquil tableau of a bench
24
+ A tranquil tableau of a bed
25
+ A tranquil tableau of a chair
26
+ A tranquil tableau of a cup
27
+ A tranquil tableau of a dining table
28
+ In a still frame, a pear
29
+ A tranquil tableau of a bunch of grapes
30
+ A tranquil tableau of a bowl on the kitchen counter
31
+ A tranquil tableau of a beautiful, handcrafted ceramic bowl
32
+ A tranquil tableau of an antique bowl
33
+ A tranquil tableau of an exquisite mahogany dining table
34
+ A tranquil tableau of a wooden bench in the park
35
+ A tranquil tableau of a beautiful wrought-iron bench surrounded by blooming flowers
36
+ In a still frame, a park bench with a view of the lake
37
+ A tranquil tableau of a vintage rocking chair was placed on the porch
38
+ A tranquil tableau of the jail cell was small and dimly lit, with cold, steel bars
39
+ A tranquil tableau of the phone booth was tucked away in a quiet alley
40
+ a dilapidated phone booth stood as a relic of a bygone era on the sidewalk, frozen in time
41
+ A tranquil tableau of the old red barn stood weathered and iconic against the backdrop of the countryside
42
+ A tranquil tableau of a picturesque barn was painted a warm shade of red and nestled in a picturesque meadow
43
+ In a still frame, within the desolate desert, an oasis unfolded, characterized by the stoic presence of palm trees and a motionless, glassy pool of water
44
+ In a still frame, the Parthenon's majestic Doric columns stand in serene solitude atop the Acropolis, framed by the tranquil Athenian landscape
45
+ In a still frame, the Temple of Hephaestus, with its timeless Doric grace, stands stoically against the backdrop of a quiet Athens
46
+ In a still frame, the ornate Victorian streetlamp stands solemnly, adorned with intricate ironwork and stained glass panels
47
+ A tranquil tableau of the Stonehenge presented itself as an enigmatic puzzle, each colossal stone meticulously placed against the backdrop of tranquility
48
+ In a still frame, in the vast desert, an oasis nestled among dunes, featuring tall palm trees and an air of serenity
49
+ static view on a desert scene with an oasis, palm trees, and a clear, calm pool of water
50
+ A tranquil tableau of an ornate Victorian streetlamp standing on a cobblestone street corner, illuminating the empty night
51
+ A tranquil tableau of a tranquil lakeside cabin nestled among tall pines, its reflection mirrored perfectly in the calm water
52
+ In a still frame, a vintage gas lantern, adorned with intricate details, gracing a historic cobblestone square
53
+ In a still frame, a tranquil Japanese tea ceremony room, with tatami mats, a delicate tea set, and a bonsai tree in the corner
54
+ A tranquil tableau of the Parthenon stands resolute in its classical elegance, a timeless symbol of Athens' cultural legacy
55
+ A tranquil tableau of in the heart of Plaka, the neoclassical architecture of the old city harmonizes with the ancient ruins
56
+ A tranquil tableau of in the desolate beauty of the American Southwest, Chaco Canyon's ancient ruins whispered tales of an enigmatic civilization that once thrived amidst the arid landscapes
57
+ A tranquil tableau of at the edge of the Arabian Desert, the ancient city of Petra beckoned with its enigmatic rock-carved façades
58
+ In a still frame, amidst the cobblestone streets, an Art Nouveau lamppost stood tall
59
+ A tranquil tableau of in the quaint village square, a traditional wrought-iron streetlamp featured delicate filigree patterns and amber-hued glass panels
60
+ A tranquil tableau of the lampposts were adorned with Art Deco motifs, their geometric shapes and frosted glass creating a sense of vintage glamour
61
+ In a still frame, in the picturesque square, a Gothic-style lamppost adorned with intricate stone carvings added a touch of medieval charm to the setting
62
+ In a still frame, in the heart of the old city, a row of ornate lantern-style streetlamps bathed the narrow alleyway in a warm, welcoming light
63
+ A tranquil tableau of in the heart of the Utah desert, a massive sandstone arch spanned the horizon
64
+ A tranquil tableau of in the Arizona desert, a massive stone bridge arched across a rugged canyon
65
+ A tranquil tableau of in the corner of the minimalist tea room, a bonsai tree added a touch of nature's beauty to the otherwise simple and elegant space
66
+ In a still frame, amidst the hushed ambiance of the traditional tea room, a meticulously arranged tea set awaited, with porcelain cups, a bamboo whisk
67
+ In a still frame, nestled in the Zen garden, a rustic teahouse featured tatami seating and a traditional charcoal brazier
68
+ A tranquil tableau of a country estate's library featured elegant wooden shelves
69
+ A tranquil tableau of beneath the shade of a solitary oak tree, an old wooden park bench sat patiently
70
+ A tranquil tableau of beside a tranquil pond, a weeping willow tree draped its branches gracefully over the water's surface, creating a serene tableau of reflection and calm
71
+ A tranquil tableau of in the Zen garden, a perfectly raked gravel path led to a serene rock garden
72
+ In a still frame, a tranquil pond was fringed by weeping cherry trees, their blossoms drifting lazily onto the glassy surface
73
+ In a still frame, within the historic library's reading room, rows of antique leather chairs and mahogany tables offered a serene haven for literary contemplation
74
+ A tranquil tableau of a peaceful orchid garden showcased a variety of delicate blooms
75
+ A tranquil tableau of in the serene courtyard, a centuries-old stone well stood as a symbol of a bygone era, its mossy stones bearing witness to the passage of time
76
+ a bird and a cat
77
+ a cat and a dog
78
+ a dog and a horse
79
+ a horse and a sheep
80
+ a sheep and a cow
81
+ a cow and an elephant
82
+ an elephant and a bear
83
+ a bear and a zebra
84
+ a zebra and a giraffe
85
+ a giraffe and a bird
86
+ a chair and a couch
87
+ a couch and a potted plant
88
+ a potted plant and a tv
89
+ a tv and a laptop
90
+ a laptop and a remote
91
+ a remote and a keyboard
92
+ a keyboard and a cell phone
93
+ a cell phone and a book
94
+ a book and a clock
95
+ a clock and a backpack
96
+ a backpack and an umbrella
97
+ an umbrella and a handbag
98
+ a handbag and a tie
99
+ a tie and a suitcase
100
+ a suitcase and a vase
101
+ a vase and scissors
102
+ scissors and a teddy bear
103
+ a teddy bear and a frisbee
104
+ a frisbee and skis
105
+ skis and a snowboard
106
+ a snowboard and a sports ball
107
+ a sports ball and a kite
108
+ a kite and a baseball bat
109
+ a baseball bat and a baseball glove
110
+ a baseball glove and a skateboard
111
+ a skateboard and a surfboard
112
+ a surfboard and a tennis racket
113
+ a tennis racket and a bottle
114
+ a bottle and a chair
115
+ an airplane and a train
116
+ a train and a boat
117
+ a boat and an airplane
118
+ a bicycle and a car
119
+ a car and a motorcycle
120
+ a motorcycle and a bus
121
+ a bus and a traffic light
122
+ a traffic light and a fire hydrant
123
+ a fire hydrant and a stop sign
124
+ a stop sign and a parking meter
125
+ a parking meter and a truck
126
+ a truck and a bicycle
127
+ a toilet and a hair drier
128
+ a hair drier and a toothbrush
129
+ a toothbrush and a sink
130
+ a sink and a toilet
131
+ a wine glass and a chair
132
+ a cup and a couch
133
+ a fork and a potted plant
134
+ a knife and a tv
135
+ a spoon and a laptop
136
+ a bowl and a remote
137
+ a banana and a keyboard
138
+ an apple and a cell phone
139
+ a sandwich and a book
140
+ an orange and a clock
141
+ broccoli and a backpack
142
+ a carrot and an umbrella
143
+ a hot dog and a handbag
144
+ a pizza and a tie
145
+ a donut and a suitcase
146
+ a cake and a vase
147
+ an oven and scissors
148
+ a toaster and a teddy bear
149
+ a microwave and a frisbee
150
+ a refrigerator and skis
151
+ a bicycle and an airplane
152
+ a car and a train
153
+ a motorcycle and a boat
154
+ a person and a toilet
155
+ a person and a hair drier
156
+ a person and a toothbrush
157
+ a person and a sink
158
+ A person is riding a bike
159
+ A person is marching
160
+ A person is roller skating
161
+ A person is tasting beer
162
+ A person is clapping
163
+ A person is drawing
164
+ A person is petting animal (not cat)
165
+ A person is eating watermelon
166
+ A person is playing harp
167
+ A person is wrestling
168
+ A person is riding scooter
169
+ A person is sweeping floor
170
+ A person is skateboarding
171
+ A person is dunking basketball
172
+ A person is playing flute
173
+ A person is stretching leg
174
+ A person is tying tie
175
+ A person is skydiving
176
+ A person is shooting goal (soccer)
177
+ A person is playing piano
178
+ A person is finger snapping
179
+ A person is canoeing or kayaking
180
+ A person is laughing
181
+ A person is digging
182
+ A person is clay pottery making
183
+ A person is shooting basketball
184
+ A person is bending back
185
+ A person is shaking hands
186
+ A person is bandaging
187
+ A person is push up
188
+ A person is catching or throwing frisbee
189
+ A person is playing trumpet
190
+ A person is flying kite
191
+ A person is filling eyebrows
192
+ A person is shuffling cards
193
+ A person is folding clothes
194
+ A person is smoking
195
+ A person is tai chi
196
+ A person is squat
197
+ A person is playing controller
198
+ A person is throwing axe
199
+ A person is giving or receiving award
200
+ A person is air drumming
201
+ A person is taking a shower
202
+ A person is planting trees
203
+ A person is sharpening knives
204
+ A person is robot dancing
205
+ A person is rock climbing
206
+ A person is hula hooping
207
+ A person is writing
208
+ A person is bungee jumping
209
+ A person is pushing cart
210
+ A person is cleaning windows
211
+ A person is cutting watermelon
212
+ A person is cheerleading
213
+ A person is washing hands
214
+ A person is ironing
215
+ A person is cutting nails
216
+ A person is hugging
217
+ A person is trimming or shaving beard
218
+ A person is jogging
219
+ A person is making bed
220
+ A person is washing dishes
221
+ A person is grooming dog
222
+ A person is doing laundry
223
+ A person is knitting
224
+ A person is reading book
225
+ A person is baby waking up
226
+ A person is massaging legs
227
+ A person is brushing teeth
228
+ A person is crawling baby
229
+ A person is motorcycling
230
+ A person is driving car
231
+ A person is sticking tongue out
232
+ A person is shaking head
233
+ A person is sword fighting
234
+ A person is doing aerobics
235
+ A person is strumming guitar
236
+ A person is riding or walking with horse
237
+ A person is archery
238
+ A person is catching or throwing baseball
239
+ A person is playing chess
240
+ A person is rock scissors paper
241
+ A person is using computer
242
+ A person is arranging flowers
243
+ A person is bending metal
244
+ A person is ice skating
245
+ A person is climbing a rope
246
+ A person is crying
247
+ A person is dancing ballet
248
+ A person is getting a haircut
249
+ A person is running on treadmill
250
+ A person is kissing
251
+ A person is counting money
252
+ A person is barbequing
253
+ A person is peeling apples
254
+ A person is milking cow
255
+ A person is shining shoes
256
+ A person is making snowman
257
+ A person is sailing
258
+ a person swimming in ocean
259
+ a person giving a presentation to a room full of colleagues
260
+ a person washing the dishes
261
+ a person eating a burger
262
+ a person walking in the snowstorm
263
+ a person drinking coffee in a cafe
264
+ a person playing guitar
265
+ a bicycle leaning against a tree
266
+ a bicycle gliding through a snowy field
267
+ a bicycle slowing down to stop
268
+ a bicycle accelerating to gain speed
269
+ a car stuck in traffic during rush hour
270
+ a car turning a corner
271
+ a car slowing down to stop
272
+ a car accelerating to gain speed
273
+ a motorcycle cruising along a coastal highway
274
+ a motorcycle turning a corner
275
+ a motorcycle slowing down to stop
276
+ a motorcycle gliding through a snowy field
277
+ a motorcycle accelerating to gain speed
278
+ an airplane soaring through a clear blue sky
279
+ an airplane taking off
280
+ an airplane landing smoothly on a runway
281
+ an airplane accelerating to gain speed
282
+ a bus turning a corner
283
+ a bus stuck in traffic during rush hour
284
+ a bus accelerating to gain speed
285
+ a train speeding down the tracks
286
+ a train crossing over a tall bridge
287
+ a train accelerating to gain speed
288
+ a truck turning a corner
289
+ a truck anchored in a tranquil bay
290
+ a truck stuck in traffic during rush hour
291
+ a truck slowing down to stop
292
+ a truck accelerating to gain speed
293
+ a boat sailing smoothly on a calm lake
294
+ a boat slowing down to stop
295
+ a boat accelerating to gain speed
296
+ a bird soaring gracefully in the sky
297
+ a bird building a nest from twigs and leaves
298
+ a bird flying over a snowy forest
299
+ a cat grooming itself meticulously with its tongue
300
+ a cat playing in park
301
+ a cat drinking water
302
+ a cat running happily
303
+ a dog enjoying a peaceful walk
304
+ a dog playing in park
305
+ a dog drinking water
306
+ a dog running happily
307
+ a horse bending down to drink water from a river
308
+ a horse galloping across an open field
309
+ a horse taking a peaceful walk
310
+ a horse running to join a herd of its kind
311
+ a sheep bending down to drink water from a river
312
+ a sheep taking a peaceful walk
313
+ a sheep running to join a herd of its kind
314
+ a cow bending down to drink water from a river
315
+ a cow chewing cud while resting in a tranquil barn
316
+ a cow running to join a herd of its kind
317
+ an elephant spraying itself with water using its trunk to cool down
318
+ an elephant taking a peaceful walk
319
+ an elephant running to join a herd of its kind
320
+ a bear catching a salmon in its powerful jaws
321
+ a bear sniffing the air for scents of food
322
+ a bear climbing a tree
323
+ a bear hunting for prey
324
+ a zebra bending down to drink water from a river
325
+ a zebra running to join a herd of its kind
326
+ a zebra taking a peaceful walk
327
+ a giraffe bending down to drink water from a river
328
+ a giraffe taking a peaceful walk
329
+ a giraffe running to join a herd of its kind
330
+ a person
331
+ a bicycle
332
+ a car
333
+ a motorcycle
334
+ an airplane
335
+ a bus
336
+ a train
337
+ a truck
338
+ a boat
339
+ a traffic light
340
+ a fire hydrant
341
+ a stop sign
342
+ a parking meter
343
+ a bench
344
+ a bird
345
+ a cat
346
+ a dog
347
+ a horse
348
+ a sheep
349
+ a cow
350
+ an elephant
351
+ a bear
352
+ a zebra
353
+ a giraffe
354
+ a backpack
355
+ an umbrella
356
+ a handbag
357
+ a tie
358
+ a suitcase
359
+ a frisbee
360
+ skis
361
+ a snowboard
362
+ a sports ball
363
+ a kite
364
+ a baseball bat
365
+ a baseball glove
366
+ a skateboard
367
+ a surfboard
368
+ a tennis racket
369
+ a bottle
370
+ a wine glass
371
+ a cup
372
+ a fork
373
+ a knife
374
+ a spoon
375
+ a bowl
376
+ a banana
377
+ an apple
378
+ a sandwich
379
+ an orange
380
+ broccoli
381
+ a carrot
382
+ a hot dog
383
+ a pizza
384
+ a donut
385
+ a cake
386
+ a chair
387
+ a couch
388
+ a potted plant
389
+ a bed
390
+ a dining table
391
+ a toilet
392
+ a tv
393
+ a laptop
394
+ a remote
395
+ a keyboard
396
+ a cell phone
397
+ a microwave
398
+ an oven
399
+ a toaster
400
+ a sink
401
+ a refrigerator
402
+ a book
403
+ a clock
404
+ a vase
405
+ scissors
406
+ a teddy bear
407
+ a hair drier
408
+ a toothbrush
409
+ a red bicycle
410
+ a green bicycle
411
+ a blue bicycle
412
+ a yellow bicycle
413
+ an orange bicycle
414
+ a purple bicycle
415
+ a pink bicycle
416
+ a black bicycle
417
+ a white bicycle
418
+ a red car
419
+ a green car
420
+ a blue car
421
+ a yellow car
422
+ an orange car
423
+ a purple car
424
+ a pink car
425
+ a black car
426
+ a white car
427
+ a red bird
428
+ a green bird
429
+ a blue bird
430
+ a yellow bird
431
+ an orange bird
432
+ a purple bird
433
+ a pink bird
434
+ a black bird
435
+ a white bird
436
+ a black cat
437
+ a white cat
438
+ an orange cat
439
+ a yellow cat
440
+ a red umbrella
441
+ a green umbrella
442
+ a blue umbrella
443
+ a yellow umbrella
444
+ an orange umbrella
445
+ a purple umbrella
446
+ a pink umbrella
447
+ a black umbrella
448
+ a white umbrella
449
+ a red suitcase
450
+ a green suitcase
451
+ a blue suitcase
452
+ a yellow suitcase
453
+ an orange suitcase
454
+ a purple suitcase
455
+ a pink suitcase
456
+ a black suitcase
457
+ a white suitcase
458
+ a red bowl
459
+ a green bowl
460
+ a blue bowl
461
+ a yellow bowl
462
+ an orange bowl
463
+ a purple bowl
464
+ a pink bowl
465
+ a black bowl
466
+ a white bowl
467
+ a red chair
468
+ a green chair
469
+ a blue chair
470
+ a yellow chair
471
+ an orange chair
472
+ a purple chair
473
+ a pink chair
474
+ a black chair
475
+ a white chair
476
+ a red clock
477
+ a green clock
478
+ a blue clock
479
+ a yellow clock
480
+ an orange clock
481
+ a purple clock
482
+ a pink clock
483
+ a black clock
484
+ a white clock
485
+ a red vase
486
+ a green vase
487
+ a blue vase
488
+ a yellow vase
489
+ an orange vase
490
+ a purple vase
491
+ a pink vase
492
+ a black vase
493
+ a white vase
494
+ A beautiful coastal beach in spring, waves lapping on sand, Van Gogh style
495
+ A beautiful coastal beach in spring, waves lapping on sand, oil painting
496
+ A beautiful coastal beach in spring, waves lapping on sand by Hokusai, in the style of Ukiyo
497
+ A beautiful coastal beach in spring, waves lapping on sand, black and white
498
+ A beautiful coastal beach in spring, waves lapping on sand, pixel art
499
+ A beautiful coastal beach in spring, waves lapping on sand, in cyberpunk style
500
+ A beautiful coastal beach in spring, waves lapping on sand, animated style
501
+ A beautiful coastal beach in spring, waves lapping on sand, watercolor painting
502
+ A beautiful coastal beach in spring, waves lapping on sand, surrealism style
503
+ The bund Shanghai, Van Gogh style
504
+ The bund Shanghai, oil painting
505
+ The bund Shanghai by Hokusai, in the style of Ukiyo
506
+ The bund Shanghai, black and white
507
+ The bund Shanghai, pixel art
508
+ The bund Shanghai, in cyberpunk style
509
+ The bund Shanghai, animated style
510
+ The bund Shanghai, watercolor painting
511
+ The bund Shanghai, surrealism style
512
+ a shark is swimming in the ocean, Van Gogh style
513
+ a shark is swimming in the ocean, oil painting
514
+ a shark is swimming in the ocean by Hokusai, in the style of Ukiyo
515
+ a shark is swimming in the ocean, black and white
516
+ a shark is swimming in the ocean, pixel art
517
+ a shark is swimming in the ocean, in cyberpunk style
518
+ a shark is swimming in the ocean, animated style
519
+ a shark is swimming in the ocean, watercolor painting
520
+ a shark is swimming in the ocean, surrealism style
521
+ A panda drinking coffee in a cafe in Paris, Van Gogh style
522
+ A panda drinking coffee in a cafe in Paris, oil painting
523
+ A panda drinking coffee in a cafe in Paris by Hokusai, in the style of Ukiyo
524
+ A panda drinking coffee in a cafe in Paris, black and white
525
+ A panda drinking coffee in a cafe in Paris, pixel art
526
+ A panda drinking coffee in a cafe in Paris, in cyberpunk style
527
+ A panda drinking coffee in a cafe in Paris, animated style
528
+ A panda drinking coffee in a cafe in Paris, watercolor painting
529
+ A panda drinking coffee in a cafe in Paris, surrealism style
530
+ A cute happy Corgi playing in park, sunset, Van Gogh style
531
+ A cute happy Corgi playing in park, sunset, oil painting
532
+ A cute happy Corgi playing in park, sunset by Hokusai, in the style of Ukiyo
533
+ A cute happy Corgi playing in park, sunset, black and white
534
+ A cute happy Corgi playing in park, sunset, pixel art
535
+ A cute happy Corgi playing in park, sunset, in cyberpunk style
536
+ A cute happy Corgi playing in park, sunset, animated style
537
+ A cute happy Corgi playing in park, sunset, watercolor painting
538
+ A cute happy Corgi playing in park, sunset, surrealism style
539
+ Gwen Stacy reading a book, Van Gogh style
540
+ Gwen Stacy reading a book, oil painting
541
+ Gwen Stacy reading a book by Hokusai, in the style of Ukiyo
542
+ Gwen Stacy reading a book, black and white
543
+ Gwen Stacy reading a book, pixel art
544
+ Gwen Stacy reading a book, in cyberpunk style
545
+ Gwen Stacy reading a book, animated style
546
+ Gwen Stacy reading a book, watercolor painting
547
+ Gwen Stacy reading a book, surrealism style
548
+ A boat sailing leisurely along the Seine River with the Eiffel Tower in background, Van Gogh style
549
+ A boat sailing leisurely along the Seine River with the Eiffel Tower in background, oil painting
550
+ A boat sailing leisurely along the Seine River with the Eiffel Tower in background by Hokusai, in the style of Ukiyo
551
+ A boat sailing leisurely along the Seine River with the Eiffel Tower in background, black and white
552
+ A boat sailing leisurely along the Seine River with the Eiffel Tower in background, pixel art
553
+ A boat sailing leisurely along the Seine River with the Eiffel Tower in background, in cyberpunk style
554
+ A boat sailing leisurely along the Seine River with the Eiffel Tower in background, animated style
555
+ A boat sailing leisurely along the Seine River with the Eiffel Tower in background, watercolor painting
556
+ A boat sailing leisurely along the Seine River with the Eiffel Tower in background, surrealism style
557
+ A couple in formal evening wear going home get caught in a heavy downpour with umbrellas, Van Gogh style
558
+ A couple in formal evening wear going home get caught in a heavy downpour with umbrellas, oil painting
559
+ A couple in formal evening wear going home get caught in a heavy downpour with umbrellas by Hokusai, in the style of Ukiyo
560
+ A couple in formal evening wear going home get caught in a heavy downpour with umbrellas, black and white
561
+ A couple in formal evening wear going home get caught in a heavy downpour with umbrellas, pixel art
562
+ A couple in formal evening wear going home get caught in a heavy downpour with umbrellas, in cyberpunk style
563
+ A couple in formal evening wear going home get caught in a heavy downpour with umbrellas, animated style
564
+ A couple in formal evening wear going home get caught in a heavy downpour with umbrellas, watercolor painting
565
+ A couple in formal evening wear going home get caught in a heavy downpour with umbrellas, surrealism style
566
+ An astronaut flying in space, Van Gogh style
567
+ An astronaut flying in space, oil painting
568
+ An astronaut flying in space by Hokusai, in the style of Ukiyo
569
+ An astronaut flying in space, black and white
570
+ An astronaut flying in space, pixel art
571
+ An astronaut flying in space, in cyberpunk style
572
+ An astronaut flying in space, animated style
573
+ An astronaut flying in space, watercolor painting
574
+ An astronaut flying in space, surrealism style
575
+ Snow rocky mountains peaks canyon. snow blanketed rocky mountains surround and shadow deep canyons. the canyons twist and bend through the high elevated mountain peaks, Van Gogh style
576
+ Snow rocky mountains peaks canyon. snow blanketed rocky mountains surround and shadow deep canyons. the canyons twist and bend through the high elevated mountain peaks, oil painting
577
+ Snow rocky mountains peaks canyon. snow blanketed rocky mountains surround and shadow deep canyons. the canyons twist and bend through the high elevated mountain peaks by Hokusai, in the style of Ukiyo
578
+ Snow rocky mountains peaks canyon. snow blanketed rocky mountains surround and shadow deep canyons. the canyons twist and bend through the high elevated mountain peaks, black and white
579
+ Snow rocky mountains peaks canyon. snow blanketed rocky mountains surround and shadow deep canyons. the canyons twist and bend through the high elevated mountain peaks, pixel art
580
+ Snow rocky mountains peaks canyon. snow blanketed rocky mountains surround and shadow deep canyons. the canyons twist and bend through the high elevated mountain peaks, in cyberpunk style
581
+ Snow rocky mountains peaks canyon. snow blanketed rocky mountains surround and shadow deep canyons. the canyons twist and bend through the high elevated mountain peaks, animated style
582
+ Snow rocky mountains peaks canyon. snow blanketed rocky mountains surround and shadow deep canyons. the canyons twist and bend through the high elevated mountain peaks, watercolor painting
583
+ Snow rocky mountains peaks canyon. snow blanketed rocky mountains surround and shadow deep canyons. the canyons twist and bend through the high elevated mountain peaks, surrealism style
584
+ A beautiful coastal beach in spring, waves lapping on sand, in super slow motion
585
+ A beautiful coastal beach in spring, waves lapping on sand, zoom in
586
+ A beautiful coastal beach in spring, waves lapping on sand, zoom out
587
+ A beautiful coastal beach in spring, waves lapping on sand, pan left
588
+ A beautiful coastal beach in spring, waves lapping on sand, pan right
589
+ A beautiful coastal beach in spring, waves lapping on sand, tilt up
590
+ A beautiful coastal beach in spring, waves lapping on sand, tilt down
591
+ A beautiful coastal beach in spring, waves lapping on sand, with an intense shaking effect
592
+ A beautiful coastal beach in spring, waves lapping on sand, featuring a steady and smooth perspective
593
+ A beautiful coastal beach in spring, waves lapping on sand, racking focus
594
+ The bund Shanghai, in super slow motion
595
+ The bund Shanghai, zoom in
596
+ The bund Shanghai, zoom out
597
+ The bund Shanghai, pan left
598
+ The bund Shanghai, pan right
599
+ The bund Shanghai, tilt up
600
+ The bund Shanghai, tilt down
601
+ The bund Shanghai, with an intense shaking effect
602
+ The bund Shanghai, featuring a steady and smooth perspective
603
+ The bund Shanghai, racking focus
604
+ a shark is swimming in the ocean, in super slow motion
605
+ a shark is swimming in the ocean, zoom in
606
+ a shark is swimming in the ocean, zoom out
607
+ a shark is swimming in the ocean, pan left
608
+ a shark is swimming in the ocean, pan right
609
+ a shark is swimming in the ocean, tilt up
610
+ a shark is swimming in the ocean, tilt down
611
+ a shark is swimming in the ocean, with an intense shaking effect
612
+ a shark is swimming in the ocean, featuring a steady and smooth perspective
613
+ a shark is swimming in the ocean, racking focus
614
+ A panda drinking coffee in a cafe in Paris, in super slow motion
615
+ A panda drinking coffee in a cafe in Paris, zoom in
616
+ A panda drinking coffee in a cafe in Paris, zoom out
617
+ A panda drinking coffee in a cafe in Paris, pan left
618
+ A panda drinking coffee in a cafe in Paris, pan right
619
+ A panda drinking coffee in a cafe in Paris, tilt up
620
+ A panda drinking coffee in a cafe in Paris, tilt down
621
+ A panda drinking coffee in a cafe in Paris, with an intense shaking effect
622
+ A panda drinking coffee in a cafe in Paris, featuring a steady and smooth perspective
623
+ A panda drinking coffee in a cafe in Paris, racking focus
624
+ A cute happy Corgi playing in park, sunset, in super slow motion
625
+ A cute happy Corgi playing in park, sunset, zoom in
626
+ A cute happy Corgi playing in park, sunset, zoom out
627
+ A cute happy Corgi playing in park, sunset, pan left
628
+ A cute happy Corgi playing in park, sunset, pan right
629
+ A cute happy Corgi playing in park, sunset, tilt up
630
+ A cute happy Corgi playing in park, sunset, tilt down
631
+ A cute happy Corgi playing in park, sunset, with an intense shaking effect
632
+ A cute happy Corgi playing in park, sunset, featuring a steady and smooth perspective
633
+ A cute happy Corgi playing in park, sunset, racking focus
634
+ Gwen Stacy reading a book, in super slow motion
635
+ Gwen Stacy reading a book, zoom in
636
+ Gwen Stacy reading a book, zoom out
637
+ Gwen Stacy reading a book, pan left
638
+ Gwen Stacy reading a book, pan right
639
+ Gwen Stacy reading a book, tilt up
640
+ Gwen Stacy reading a book, tilt down
641
+ Gwen Stacy reading a book, with an intense shaking effect
642
+ Gwen Stacy reading a book, featuring a steady and smooth perspective
643
+ Gwen Stacy reading a book, racking focus
644
+ A boat sailing leisurely along the Seine River with the Eiffel Tower in background, in super slow motion
645
+ A boat sailing leisurely along the Seine River with the Eiffel Tower in background, zoom in
646
+ A boat sailing leisurely along the Seine River with the Eiffel Tower in background, zoom out
647
+ A boat sailing leisurely along the Seine River with the Eiffel Tower in background, pan left
648
+ A boat sailing leisurely along the Seine River with the Eiffel Tower in background, pan right
649
+ A boat sailing leisurely along the Seine River with the Eiffel Tower in background, tilt up
650
+ A boat sailing leisurely along the Seine River with the Eiffel Tower in background, tilt down
651
+ A boat sailing leisurely along the Seine River with the Eiffel Tower in background, with an intense shaking effect
652
+ A boat sailing leisurely along the Seine River with the Eiffel Tower in background, featuring a steady and smooth perspective
653
+ A boat sailing leisurely along the Seine River with the Eiffel Tower in background, racking focus
654
+ A couple in formal evening wear going home get caught in a heavy downpour with umbrellas, in super slow motion
655
+ A couple in formal evening wear going home get caught in a heavy downpour with umbrellas, zoom in
656
+ A couple in formal evening wear going home get caught in a heavy downpour with umbrellas, zoom out
657
+ A couple in formal evening wear going home get caught in a heavy downpour with umbrellas, pan left
658
+ A couple in formal evening wear going home get caught in a heavy downpour with umbrellas, pan right
659
+ A couple in formal evening wear going home get caught in a heavy downpour with umbrellas, tilt up
660
+ A couple in formal evening wear going home get caught in a heavy downpour with umbrellas, tilt down
661
+ A couple in formal evening wear going home get caught in a heavy downpour with umbrellas, with an intense shaking effect
662
+ A couple in formal evening wear going home get caught in a heavy downpour with umbrellas, featuring a steady and smooth perspective
663
+ A couple in formal evening wear going home get caught in a heavy downpour with umbrellas, racking focus
664
+ An astronaut flying in space, in super slow motion
665
+ An astronaut flying in space, zoom in
666
+ An astronaut flying in space, zoom out
667
+ An astronaut flying in space, pan left
668
+ An astronaut flying in space, pan right
669
+ An astronaut flying in space, tilt up
670
+ An astronaut flying in space, tilt down
671
+ An astronaut flying in space, with an intense shaking effect
672
+ An astronaut flying in space, featuring a steady and smooth perspective
673
+ An astronaut flying in space, racking focus
674
+ Snow rocky mountains peaks canyon. snow blanketed rocky mountains surround and shadow deep canyons. the canyons twist and bend through the high elevated mountain peaks, in super slow motion
675
+ Snow rocky mountains peaks canyon. snow blanketed rocky mountains surround and shadow deep canyons. the canyons twist and bend through the high elevated mountain peaks, zoom in
676
+ Snow rocky mountains peaks canyon. snow blanketed rocky mountains surround and shadow deep canyons. the canyons twist and bend through the high elevated mountain peaks, zoom out
677
+ Snow rocky mountains peaks canyon. snow blanketed rocky mountains surround and shadow deep canyons. the canyons twist and bend through the high elevated mountain peaks, pan left
678
+ Snow rocky mountains peaks canyon. snow blanketed rocky mountains surround and shadow deep canyons. the canyons twist and bend through the high elevated mountain peaks, pan right
679
+ Snow rocky mountains peaks canyon. snow blanketed rocky mountains surround and shadow deep canyons. the canyons twist and bend through the high elevated mountain peaks, tilt up
680
+ Snow rocky mountains peaks canyon. snow blanketed rocky mountains surround and shadow deep canyons. the canyons twist and bend through the high elevated mountain peaks, tilt down
681
+ Snow rocky mountains peaks canyon. snow blanketed rocky mountains surround and shadow deep canyons. the canyons twist and bend through the high elevated mountain peaks, with an intense shaking effect
682
+ Snow rocky mountains peaks canyon. snow blanketed rocky mountains surround and shadow deep canyons. the canyons twist and bend through the high elevated mountain peaks, featuring a steady and smooth perspective
683
+ Snow rocky mountains peaks canyon. snow blanketed rocky mountains surround and shadow deep canyons. the canyons twist and bend through the high elevated mountain peaks, racking focus
684
+ Close up of grapes on a rotating table.
685
+ Turtle swimming in ocean.
686
+ A storm trooper vacuuming the beach.
687
+ A panda standing on a surfboard in the ocean in sunset.
688
+ An astronaut feeding ducks on a sunny afternoon, reflection from the water.
689
+ Two pandas discussing an academic paper.
690
+ Sunset time lapse at the beach with moving clouds and colors in the sky.
691
+ A fat rabbit wearing a purple robe walking through a fantasy landscape.
692
+ A koala bear playing piano in the forest.
693
+ An astronaut flying in space.
694
+ Fireworks.
695
+ An animated painting of fluffy white clouds moving in sky.
696
+ Flying through fantasy landscapes.
697
+ A bigfoot walking in the snowstorm.
698
+ A squirrel eating a burger.
699
+ A cat wearing sunglasses and working as a lifeguard at a pool.
700
+ Snow rocky mountains peaks canyon. snow blanketed rocky mountains surround and shadow deep canyons. the canyons twist and bend through the high elevated mountain peaks.
701
+ Splash of turquoise water in extreme slow motion, alpha channel included.
702
+ an ice cream is melting on the table.
703
+ a drone flying over a snowy forest.
704
+ a shark is swimming in the ocean.
705
+ Aerial panoramic video from a drone of a fantasy land.
706
+ a teddy bear is swimming in the ocean.
707
+ time lapse of sunrise on mars.
708
+ golden fish swimming in the ocean.
709
+ An artist brush painting on a canvas close up.
710
+ A drone view of celebration with Christmas tree and fireworks, starry sky - background.
711
+ happy dog wearing a yellow turtleneck, studio, portrait, facing camera, dark background
712
+ Origami dancers in white paper, 3D render, on white background, studio shot, dancing modern dance.
713
+ Campfire at night in a snowy forest with starry sky in the background.
714
+ a fantasy landscape
715
+ A 3D model of a 1800s victorian house.
716
+ this is how I do makeup in the morning.
717
+ A raccoon that looks like a turtle, digital art.
718
+ Robot dancing in Times Square.
719
+ Busy freeway at night.
720
+ Balloon full of water exploding in extreme slow motion.
721
+ An astronaut is riding a horse in the space in a photorealistic style.
722
+ Macro slo-mo. Slow motion cropped closeup of roasted coffee beans falling into an empty bowl.
723
+ Sewing machine, old sewing machine working.
724
+ Motion colour drop in water, ink swirling in water, colourful ink in water, abstraction fancy dream cloud of ink.
725
+ Few big purple plums rotating on the turntable. water drops appear on the skin during rotation. isolated on the white background. close-up. macro.
726
+ Vampire makeup face of beautiful girl, red contact lenses.
727
+ Ashtray full of butts on table, smoke flowing on black background, close-up
728
+ Pacific coast, carmel by the sea ocean and waves.
729
+ A teddy bear is playing drum kit in NYC Times Square.
730
+ A corgi is playing drum kit.
731
+ An Iron man is playing the electronic guitar, high electronic guitar.
732
+ A raccoon is playing the electronic guitar.
733
+ A boat sailing leisurely along the Seine River with the Eiffel Tower in background by Vincent van Gogh
734
+ A corgi's head depicted as an explosion of a nebula
735
+ A fantasy landscape
736
+ A future where humans have achieved teleportation technology
737
+ A jellyfish floating through the ocean, with bioluminescent tentacles
738
+ A Mars rover moving on Mars
739
+ A panda drinking coffee in a cafe in Paris
740
+ A space shuttle launching into orbit, with flames and smoke billowing out from the engines
741
+ A steam train moving on a mountainside
742
+ A super cool giant robot in Cyberpunk Beijing
743
+ A tropical beach at sunrise, with palm trees and crystal-clear water in the foreground
744
+ Cinematic shot of Van Gogh's selfie, Van Gogh style
745
+ Gwen Stacy reading a book
746
+ Iron Man flying in the sky
747
+ The bund Shanghai, oil painting
748
+ Yoda playing guitar on the stage
749
+ A beautiful coastal beach in spring, waves lapping on sand by Hokusai, in the style of Ukiyo
750
+ A beautiful coastal beach in spring, waves lapping on sand by Vincent van Gogh
751
+ A boat sailing leisurely along the Seine River with the Eiffel Tower in background
752
+ A car moving slowly on an empty street, rainy evening
753
+ A cat eating food out of a bowl
754
+ A cat wearing sunglasses at a pool
755
+ A confused panda in calculus class
756
+ A cute fluffy panda eating Chinese food in a restaurant
757
+ A cute happy Corgi playing in park, sunset
758
+ A cute raccoon playing guitar in a boat on the ocean
759
+ A happy fuzzy panda playing guitar nearby a campfire, snow mountain in the background
760
+ A lightning striking atop of eiffel tower, dark clouds in the sky
761
+ A modern art museum, with colorful paintings
762
+ A panda cooking in the kitchen
763
+ A panda playing on a swing set
764
+ A polar bear is playing guitar
765
+ A raccoon dressed in suit playing the trumpet, stage background
766
+ A robot DJ is playing the turntable, in heavy raining futuristic tokyo rooftop cyberpunk night, sci-fi, fantasy
767
+ A shark swimming in clear Caribbean ocean
768
+ A super robot protecting city
769
+ A teddy bear washing the dishes
770
+ An epic tornado attacking above a glowing city at night, the tornado is made of smoke
771
+ An oil painting of a couple in formal evening wear going home get caught in a heavy downpour with umbrellas
772
+ Clown fish swimming through the coral reef
773
+ Hyper-realistic spaceship landing on Mars
774
+ The bund Shanghai, vibrant color
775
+ Vincent van Gogh is painting in the room
776
+ Yellow flowers swing in the wind
777
+ alley
778
+ amusement park
779
+ aquarium
780
+ arch
781
+ art gallery
782
+ bathroom
783
+ bakery shop
784
+ ballroom
785
+ bar
786
+ barn
787
+ basement
788
+ beach
789
+ bedroom
790
+ bridge
791
+ botanical garden
792
+ cafeteria
793
+ campsite
794
+ campus
795
+ carrousel
796
+ castle
797
+ cemetery
798
+ classroom
799
+ cliff
800
+ crosswalk
801
+ construction site
802
+ corridor
803
+ courtyard
804
+ desert
805
+ downtown
806
+ driveway
807
+ farm
808
+ food court
809
+ football field
810
+ forest road
811
+ fountain
812
+ gas station
813
+ glacier
814
+ golf course
815
+ indoor gymnasium
816
+ harbor
817
+ highway
818
+ hospital
819
+ house
820
+ iceberg
821
+ industrial area
822
+ jail cell
823
+ junkyard
824
+ kitchen
825
+ indoor library
826
+ lighthouse
827
+ laboratory
828
+ mansion
829
+ marsh
830
+ mountain
831
+ indoor movie theater
832
+ indoor museum
833
+ music studio
834
+ nursery
835
+ ocean
836
+ office
837
+ palace
838
+ parking lot
839
+ pharmacy
840
+ phone booth
841
+ raceway
842
+ restaurant
843
+ river
844
+ science museum
845
+ shower
846
+ ski slope
847
+ sky
848
+ skyscraper
849
+ baseball stadium
850
+ staircase
851
+ street
852
+ supermarket
853
+ indoor swimming pool
854
+ tower
855
+ outdoor track
856
+ train railway
857
+ train station platform
858
+ underwater coral reef
859
+ valley
860
+ volcano
861
+ waterfall
862
+ windmill
863
+ a bicycle on the left of a car, front view
864
+ a car on the right of a motorcycle, front view
865
+ a motorcycle on the left of a bus, front view
866
+ a bus on the right of a traffic light, front view
867
+ a traffic light on the left of a fire hydrant, front view
868
+ a fire hydrant on the right of a stop sign, front view
869
+ a stop sign on the left of a parking meter, front view
870
+ a parking meter on the right of a bench, front view
871
+ a bench on the left of a truck, front view
872
+ a truck on the right of a bicycle, front view
873
+ a bird on the left of a cat, front view
874
+ a cat on the right of a dog, front view
875
+ a dog on the left of a horse, front view
876
+ a horse on the right of a sheep, front view
877
+ a sheep on the left of a cow, front view
878
+ a cow on the right of an elephant, front view
879
+ an elephant on the left of a bear, front view
880
+ a bear on the right of a zebra, front view
881
+ a zebra on the left of a giraffe, front view
882
+ a giraffe on the right of a bird, front view
883
+ a bottle on the left of a wine glass, front view
884
+ a wine glass on the right of a cup, front view
885
+ a cup on the left of a fork, front view
886
+ a fork on the right of a knife, front view
887
+ a knife on the left of a spoon, front view
888
+ a spoon on the right of a bowl, front view
889
+ a bowl on the left of a bottle, front view
890
+ a potted plant on the left of a remote, front view
891
+ a remote on the right of a clock, front view
892
+ a clock on the left of a vase, front view
893
+ a vase on the right of scissors, front view
894
+ scissors on the left of a teddy bear, front view
895
+ a teddy bear on the right of a potted plant, front view
896
+ a frisbee on the left of a sports ball, front view
897
+ a sports ball on the right of a baseball bat, front view
898
+ a baseball bat on the left of a baseball glove, front view
899
+ a baseball glove on the right of a tennis racket, front view
900
+ a tennis racket on the left of a frisbee, front view
901
+ a toilet on the left of a hair drier, front view
902
+ a hair drier on the right of a toothbrush, front view
903
+ a toothbrush on the left of a sink, front view
904
+ a sink on the right of a toilet, front view
905
+ a chair on the left of a couch, front view
906
+ a couch on the right of a bed, front view
907
+ a bed on the left of a tv, front view
908
+ a tv on the right of a dining table, front view
909
+ a dining table on the left of a chair, front view
910
+ an airplane on the left of a train, front view
911
+ a train on the right of a boat, front view
912
+ a boat on the left of an airplane, front view
913
+ an oven on the top of a toaster, front view
914
+ an oven on the bottom of a toaster, front view
915
+ a toaster on the top of a microwave, front view
916
+ a toaster on the bottom of a microwave, front view
917
+ a microwave on the top of an oven, front view
918
+ a microwave on the bottom of an oven, front view
919
+ a banana on the top of an apple, front view
920
+ a banana on the bottom of an apple, front view
921
+ an apple on the top of a sandwich, front view
922
+ an apple on the bottom of a sandwich, front view
923
+ a sandwich on the top of an orange, front view
924
+ a sandwich on the bottom of an orange, front view
925
+ an orange on the top of a carrot, front view
926
+ an orange on the bottom of a carrot, front view
927
+ a carrot on the top of a hot dog, front view
928
+ a carrot on the bottom of a hot dog, front view
929
+ a hot dog on the top of a pizza, front view
930
+ a hot dog on the bottom of a pizza, front view
931
+ a pizza on the top of a donut, front view
932
+ a pizza on the bottom of a donut, front view
933
+ a donut on the top of broccoli, front view
934
+ a donut on the bottom of broccoli, front view
935
+ broccoli on the top of a banana, front view
936
+ broccoli on the bottom of a banana, front view
937
+ skis on the top of a snowboard, front view
938
+ skis on the bottom of a snowboard, front view
939
+ a snowboard on the top of a kite, front view
940
+ a snowboard on the bottom of a kite, front view
941
+ a kite on the top of a skateboard, front view
942
+ a kite on the bottom of a skateboard, front view
943
+ a skateboard on the top of a surfboard, front view
944
+ a skateboard on the bottom of a surfboard, front view
945
+ a surfboard on the top of skis, front view
946
+ a surfboard on the bottom of skis, front view
VBench/prompts/metadata/appearance_style.json ADDED
@@ -0,0 +1,362 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ [
2
+ {
3
+ "prompt_en": "A beautiful coastal beach in spring, waves lapping on sand, Van Gogh style",
4
+ "style_en": "Van Gogh style"
5
+ },
6
+ {
7
+ "prompt_en": "A beautiful coastal beach in spring, waves lapping on sand, oil painting",
8
+ "style_en": "oil painting"
9
+ },
10
+ {
11
+ "prompt_en": "A beautiful coastal beach in spring, waves lapping on sand by Hokusai, in the style of Ukiyo",
12
+ "style_en": "by Hokusai, in the style of Ukiyo"
13
+ },
14
+ {
15
+ "prompt_en": "A beautiful coastal beach in spring, waves lapping on sand, black and white",
16
+ "style_en": "black and white"
17
+ },
18
+ {
19
+ "prompt_en": "A beautiful coastal beach in spring, waves lapping on sand, pixel art",
20
+ "style_en": "pixel art"
21
+ },
22
+ {
23
+ "prompt_en": "A beautiful coastal beach in spring, waves lapping on sand, in cyberpunk style",
24
+ "style_en": "in cyberpunk style"
25
+ },
26
+ {
27
+ "prompt_en": "A beautiful coastal beach in spring, waves lapping on sand, animated style",
28
+ "style_en": "animated style"
29
+ },
30
+ {
31
+ "prompt_en": "A beautiful coastal beach in spring, waves lapping on sand, watercolor painting",
32
+ "style_en": "watercolor painting"
33
+ },
34
+ {
35
+ "prompt_en": "A beautiful coastal beach in spring, waves lapping on sand, surrealism style",
36
+ "style_en": "surrealism style"
37
+ },
38
+ {
39
+ "prompt_en": "The bund Shanghai, Van Gogh style",
40
+ "style_en": "Van Gogh style"
41
+ },
42
+ {
43
+ "prompt_en": "The bund Shanghai, oil painting",
44
+ "style_en": "oil painting"
45
+ },
46
+ {
47
+ "prompt_en": "The bund Shanghai by Hokusai, in the style of Ukiyo",
48
+ "style_en": "by Hokusai, in the style of Ukiyo"
49
+ },
50
+ {
51
+ "prompt_en": "The bund Shanghai, black and white",
52
+ "style_en": "black and white"
53
+ },
54
+ {
55
+ "prompt_en": "The bund Shanghai, pixel art",
56
+ "style_en": "pixel art"
57
+ },
58
+ {
59
+ "prompt_en": "The bund Shanghai, in cyberpunk style",
60
+ "style_en": "in cyberpunk style"
61
+ },
62
+ {
63
+ "prompt_en": "The bund Shanghai, animated style",
64
+ "style_en": "animated style"
65
+ },
66
+ {
67
+ "prompt_en": "The bund Shanghai, watercolor painting",
68
+ "style_en": "watercolor painting"
69
+ },
70
+ {
71
+ "prompt_en": "The bund Shanghai, surrealism style",
72
+ "style_en": "surrealism style"
73
+ },
74
+ {
75
+ "prompt_en": "a shark is swimming in the ocean, Van Gogh style",
76
+ "style_en": "Van Gogh style"
77
+ },
78
+ {
79
+ "prompt_en": "a shark is swimming in the ocean, oil painting",
80
+ "style_en": "oil painting"
81
+ },
82
+ {
83
+ "prompt_en": "a shark is swimming in the ocean by Hokusai, in the style of Ukiyo",
84
+ "style_en": "by Hokusai, in the style of Ukiyo"
85
+ },
86
+ {
87
+ "prompt_en": "a shark is swimming in the ocean, black and white",
88
+ "style_en": "black and white"
89
+ },
90
+ {
91
+ "prompt_en": "a shark is swimming in the ocean, pixel art",
92
+ "style_en": "pixel art"
93
+ },
94
+ {
95
+ "prompt_en": "a shark is swimming in the ocean, in cyberpunk style",
96
+ "style_en": "in cyberpunk style"
97
+ },
98
+ {
99
+ "prompt_en": "a shark is swimming in the ocean, animated style",
100
+ "style_en": "animated style"
101
+ },
102
+ {
103
+ "prompt_en": "a shark is swimming in the ocean, watercolor painting",
104
+ "style_en": "watercolor painting"
105
+ },
106
+ {
107
+ "prompt_en": "a shark is swimming in the ocean, surrealism style",
108
+ "style_en": "surrealism style"
109
+ },
110
+ {
111
+ "prompt_en": "A panda drinking coffee in a cafe in Paris, Van Gogh style",
112
+ "style_en": "Van Gogh style"
113
+ },
114
+ {
115
+ "prompt_en": "A panda drinking coffee in a cafe in Paris, oil painting",
116
+ "style_en": "oil painting"
117
+ },
118
+ {
119
+ "prompt_en": "A panda drinking coffee in a cafe in Paris by Hokusai, in the style of Ukiyo",
120
+ "style_en": "by Hokusai, in the style of Ukiyo"
121
+ },
122
+ {
123
+ "prompt_en": "A panda drinking coffee in a cafe in Paris, black and white",
124
+ "style_en": "black and white"
125
+ },
126
+ {
127
+ "prompt_en": "A panda drinking coffee in a cafe in Paris, pixel art",
128
+ "style_en": "pixel art"
129
+ },
130
+ {
131
+ "prompt_en": "A panda drinking coffee in a cafe in Paris, in cyberpunk style",
132
+ "style_en": "in cyberpunk style"
133
+ },
134
+ {
135
+ "prompt_en": "A panda drinking coffee in a cafe in Paris, animated style",
136
+ "style_en": "animated style"
137
+ },
138
+ {
139
+ "prompt_en": "A panda drinking coffee in a cafe in Paris, watercolor painting",
140
+ "style_en": "watercolor painting"
141
+ },
142
+ {
143
+ "prompt_en": "A panda drinking coffee in a cafe in Paris, surrealism style",
144
+ "style_en": "surrealism style"
145
+ },
146
+ {
147
+ "prompt_en": "A cute happy Corgi playing in park, sunset, Van Gogh style",
148
+ "style_en": "Van Gogh style"
149
+ },
150
+ {
151
+ "prompt_en": "A cute happy Corgi playing in park, sunset, oil painting",
152
+ "style_en": "oil painting"
153
+ },
154
+ {
155
+ "prompt_en": "A cute happy Corgi playing in park, sunset by Hokusai, in the style of Ukiyo",
156
+ "style_en": "by Hokusai, in the style of Ukiyo"
157
+ },
158
+ {
159
+ "prompt_en": "A cute happy Corgi playing in park, sunset, black and white",
160
+ "style_en": "black and white"
161
+ },
162
+ {
163
+ "prompt_en": "A cute happy Corgi playing in park, sunset, pixel art",
164
+ "style_en": "pixel art"
165
+ },
166
+ {
167
+ "prompt_en": "A cute happy Corgi playing in park, sunset, in cyberpunk style",
168
+ "style_en": "in cyberpunk style"
169
+ },
170
+ {
171
+ "prompt_en": "A cute happy Corgi playing in park, sunset, animated style",
172
+ "style_en": "animated style"
173
+ },
174
+ {
175
+ "prompt_en": "A cute happy Corgi playing in park, sunset, watercolor painting",
176
+ "style_en": "watercolor painting"
177
+ },
178
+ {
179
+ "prompt_en": "A cute happy Corgi playing in park, sunset, surrealism style",
180
+ "style_en": "surrealism style"
181
+ },
182
+ {
183
+ "prompt_en": "Gwen Stacy reading a book, Van Gogh style",
184
+ "style_en": "Van Gogh style"
185
+ },
186
+ {
187
+ "prompt_en": "Gwen Stacy reading a book, oil painting",
188
+ "style_en": "oil painting"
189
+ },
190
+ {
191
+ "prompt_en": "Gwen Stacy reading a book by Hokusai, in the style of Ukiyo",
192
+ "style_en": "by Hokusai, in the style of Ukiyo"
193
+ },
194
+ {
195
+ "prompt_en": "Gwen Stacy reading a book, black and white",
196
+ "style_en": "black and white"
197
+ },
198
+ {
199
+ "prompt_en": "Gwen Stacy reading a book, pixel art",
200
+ "style_en": "pixel art"
201
+ },
202
+ {
203
+ "prompt_en": "Gwen Stacy reading a book, in cyberpunk style",
204
+ "style_en": "in cyberpunk style"
205
+ },
206
+ {
207
+ "prompt_en": "Gwen Stacy reading a book, animated style",
208
+ "style_en": "animated style"
209
+ },
210
+ {
211
+ "prompt_en": "Gwen Stacy reading a book, watercolor painting",
212
+ "style_en": "watercolor painting"
213
+ },
214
+ {
215
+ "prompt_en": "Gwen Stacy reading a book, surrealism style",
216
+ "style_en": "surrealism style"
217
+ },
218
+ {
219
+ "prompt_en": "A boat sailing leisurely along the Seine River with the Eiffel Tower in background, Van Gogh style",
220
+ "style_en": "Van Gogh style"
221
+ },
222
+ {
223
+ "prompt_en": "A boat sailing leisurely along the Seine River with the Eiffel Tower in background, oil painting",
224
+ "style_en": "oil painting"
225
+ },
226
+ {
227
+ "prompt_en": "A boat sailing leisurely along the Seine River with the Eiffel Tower in background by Hokusai, in the style of Ukiyo",
228
+ "style_en": "by Hokusai, in the style of Ukiyo"
229
+ },
230
+ {
231
+ "prompt_en": "A boat sailing leisurely along the Seine River with the Eiffel Tower in background, black and white",
232
+ "style_en": "black and white"
233
+ },
234
+ {
235
+ "prompt_en": "A boat sailing leisurely along the Seine River with the Eiffel Tower in background, pixel art",
236
+ "style_en": "pixel art"
237
+ },
238
+ {
239
+ "prompt_en": "A boat sailing leisurely along the Seine River with the Eiffel Tower in background, in cyberpunk style",
240
+ "style_en": "in cyberpunk style"
241
+ },
242
+ {
243
+ "prompt_en": "A boat sailing leisurely along the Seine River with the Eiffel Tower in background, animated style",
244
+ "style_en": "animated style"
245
+ },
246
+ {
247
+ "prompt_en": "A boat sailing leisurely along the Seine River with the Eiffel Tower in background, watercolor painting",
248
+ "style_en": "watercolor painting"
249
+ },
250
+ {
251
+ "prompt_en": "A boat sailing leisurely along the Seine River with the Eiffel Tower in background, surrealism style",
252
+ "style_en": "surrealism style"
253
+ },
254
+ {
255
+ "prompt_en": "A couple in formal evening wear going home get caught in a heavy downpour with umbrellas, Van Gogh style",
256
+ "style_en": "Van Gogh style"
257
+ },
258
+ {
259
+ "prompt_en": "A couple in formal evening wear going home get caught in a heavy downpour with umbrellas, oil painting",
260
+ "style_en": "oil painting"
261
+ },
262
+ {
263
+ "prompt_en": "A couple in formal evening wear going home get caught in a heavy downpour with umbrellas by Hokusai, in the style of Ukiyo",
264
+ "style_en": "by Hokusai, in the style of Ukiyo"
265
+ },
266
+ {
267
+ "prompt_en": "A couple in formal evening wear going home get caught in a heavy downpour with umbrellas, black and white",
268
+ "style_en": "black and white"
269
+ },
270
+ {
271
+ "prompt_en": "A couple in formal evening wear going home get caught in a heavy downpour with umbrellas, pixel art",
272
+ "style_en": "pixel art"
273
+ },
274
+ {
275
+ "prompt_en": "A couple in formal evening wear going home get caught in a heavy downpour with umbrellas, in cyberpunk style",
276
+ "style_en": "in cyberpunk style"
277
+ },
278
+ {
279
+ "prompt_en": "A couple in formal evening wear going home get caught in a heavy downpour with umbrellas, animated style",
280
+ "style_en": "animated style"
281
+ },
282
+ {
283
+ "prompt_en": "A couple in formal evening wear going home get caught in a heavy downpour with umbrellas, watercolor painting",
284
+ "style_en": "watercolor painting"
285
+ },
286
+ {
287
+ "prompt_en": "A couple in formal evening wear going home get caught in a heavy downpour with umbrellas, surrealism style",
288
+ "style_en": "surrealism style"
289
+ },
290
+ {
291
+ "prompt_en": "An astronaut flying in space, Van Gogh style",
292
+ "style_en": "Van Gogh style"
293
+ },
294
+ {
295
+ "prompt_en": "An astronaut flying in space, oil painting",
296
+ "style_en": "oil painting"
297
+ },
298
+ {
299
+ "prompt_en": "An astronaut flying in space by Hokusai, in the style of Ukiyo",
300
+ "style_en": "by Hokusai, in the style of Ukiyo"
301
+ },
302
+ {
303
+ "prompt_en": "An astronaut flying in space, black and white",
304
+ "style_en": "black and white"
305
+ },
306
+ {
307
+ "prompt_en": "An astronaut flying in space, pixel art",
308
+ "style_en": "pixel art"
309
+ },
310
+ {
311
+ "prompt_en": "An astronaut flying in space, in cyberpunk style",
312
+ "style_en": "in cyberpunk style"
313
+ },
314
+ {
315
+ "prompt_en": "An astronaut flying in space, animated style",
316
+ "style_en": "animated style"
317
+ },
318
+ {
319
+ "prompt_en": "An astronaut flying in space, watercolor painting",
320
+ "style_en": "watercolor painting"
321
+ },
322
+ {
323
+ "prompt_en": "An astronaut flying in space, surrealism style",
324
+ "style_en": "surrealism style"
325
+ },
326
+ {
327
+ "prompt_en": "Snow rocky mountains peaks canyon. snow blanketed rocky mountains surround and shadow deep canyons. the canyons twist and bend through the high elevated mountain peaks, Van Gogh style",
328
+ "style_en": "Van Gogh style"
329
+ },
330
+ {
331
+ "prompt_en": "Snow rocky mountains peaks canyon. snow blanketed rocky mountains surround and shadow deep canyons. the canyons twist and bend through the high elevated mountain peaks, oil painting",
332
+ "style_en": "oil painting"
333
+ },
334
+ {
335
+ "prompt_en": "Snow rocky mountains peaks canyon. snow blanketed rocky mountains surround and shadow deep canyons. the canyons twist and bend through the high elevated mountain peaks by Hokusai, in the style of Ukiyo",
336
+ "style_en": "by Hokusai, in the style of Ukiyo"
337
+ },
338
+ {
339
+ "prompt_en": "Snow rocky mountains peaks canyon. snow blanketed rocky mountains surround and shadow deep canyons. the canyons twist and bend through the high elevated mountain peaks, black and white",
340
+ "style_en": "black and white"
341
+ },
342
+ {
343
+ "prompt_en": "Snow rocky mountains peaks canyon. snow blanketed rocky mountains surround and shadow deep canyons. the canyons twist and bend through the high elevated mountain peaks, pixel art",
344
+ "style_en": "pixel art"
345
+ },
346
+ {
347
+ "prompt_en": "Snow rocky mountains peaks canyon. snow blanketed rocky mountains surround and shadow deep canyons. the canyons twist and bend through the high elevated mountain peaks, in cyberpunk style",
348
+ "style_en": "in cyberpunk style"
349
+ },
350
+ {
351
+ "prompt_en": "Snow rocky mountains peaks canyon. snow blanketed rocky mountains surround and shadow deep canyons. the canyons twist and bend through the high elevated mountain peaks, animated style",
352
+ "style_en": "animated style"
353
+ },
354
+ {
355
+ "prompt_en": "Snow rocky mountains peaks canyon. snow blanketed rocky mountains surround and shadow deep canyons. the canyons twist and bend through the high elevated mountain peaks, watercolor painting",
356
+ "style_en": "watercolor painting"
357
+ },
358
+ {
359
+ "prompt_en": "Snow rocky mountains peaks canyon. snow blanketed rocky mountains surround and shadow deep canyons. the canyons twist and bend through the high elevated mountain peaks, surrealism style",
360
+ "style_en": "surrealism style"
361
+ }
362
+ ]
VBench/prompts/metadata/color.json ADDED
@@ -0,0 +1,342 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ [
2
+ {
3
+ "prompt_en": "a red bicycle",
4
+ "color_en": "red"
5
+ },
6
+ {
7
+ "prompt_en": "a green bicycle",
8
+ "color_en": "green"
9
+ },
10
+ {
11
+ "prompt_en": "a blue bicycle",
12
+ "color_en": "blue"
13
+ },
14
+ {
15
+ "prompt_en": "a yellow bicycle",
16
+ "color_en": "yellow"
17
+ },
18
+ {
19
+ "prompt_en": "an orange bicycle",
20
+ "color_en": "orange"
21
+ },
22
+ {
23
+ "prompt_en": "a purple bicycle",
24
+ "color_en": "purple"
25
+ },
26
+ {
27
+ "prompt_en": "a pink bicycle",
28
+ "color_en": "pink"
29
+ },
30
+ {
31
+ "prompt_en": "a black bicycle",
32
+ "color_en": "black"
33
+ },
34
+ {
35
+ "prompt_en": "a white bicycle",
36
+ "color_en": "white"
37
+ },
38
+ {
39
+ "prompt_en": "a red car",
40
+ "color_en": "red"
41
+ },
42
+ {
43
+ "prompt_en": "a green car",
44
+ "color_en": "green"
45
+ },
46
+ {
47
+ "prompt_en": "a blue car",
48
+ "color_en": "blue"
49
+ },
50
+ {
51
+ "prompt_en": "a yellow car",
52
+ "color_en": "yellow"
53
+ },
54
+ {
55
+ "prompt_en": "an orange car",
56
+ "color_en": "orange"
57
+ },
58
+ {
59
+ "prompt_en": "a purple car",
60
+ "color_en": "purple"
61
+ },
62
+ {
63
+ "prompt_en": "a pink car",
64
+ "color_en": "pink"
65
+ },
66
+ {
67
+ "prompt_en": "a black car",
68
+ "color_en": "black"
69
+ },
70
+ {
71
+ "prompt_en": "a white car",
72
+ "color_en": "white"
73
+ },
74
+ {
75
+ "prompt_en": "a red bird",
76
+ "color_en": "red"
77
+ },
78
+ {
79
+ "prompt_en": "a green bird",
80
+ "color_en": "green"
81
+ },
82
+ {
83
+ "prompt_en": "a blue bird",
84
+ "color_en": "blue"
85
+ },
86
+ {
87
+ "prompt_en": "a yellow bird",
88
+ "color_en": "yellow"
89
+ },
90
+ {
91
+ "prompt_en": "an orange bird",
92
+ "color_en": "orange"
93
+ },
94
+ {
95
+ "prompt_en": "a purple bird",
96
+ "color_en": "purple"
97
+ },
98
+ {
99
+ "prompt_en": "a pink bird",
100
+ "color_en": "pink"
101
+ },
102
+ {
103
+ "prompt_en": "a black bird",
104
+ "color_en": "black"
105
+ },
106
+ {
107
+ "prompt_en": "a white bird",
108
+ "color_en": "white"
109
+ },
110
+ {
111
+ "prompt_en": "a black cat",
112
+ "color_en": "black"
113
+ },
114
+ {
115
+ "prompt_en": "a white cat",
116
+ "color_en": "white"
117
+ },
118
+ {
119
+ "prompt_en": "an orange cat",
120
+ "color_en": "orange"
121
+ },
122
+ {
123
+ "prompt_en": "a yellow cat",
124
+ "color_en": "yellow"
125
+ },
126
+ {
127
+ "prompt_en": "a red umbrella",
128
+ "color_en": "red"
129
+ },
130
+ {
131
+ "prompt_en": "a green umbrella",
132
+ "color_en": "green"
133
+ },
134
+ {
135
+ "prompt_en": "a blue umbrella",
136
+ "color_en": "blue"
137
+ },
138
+ {
139
+ "prompt_en": "a yellow umbrella",
140
+ "color_en": "yellow"
141
+ },
142
+ {
143
+ "prompt_en": "an orange umbrella",
144
+ "color_en": "orange"
145
+ },
146
+ {
147
+ "prompt_en": "a purple umbrella",
148
+ "color_en": "purple"
149
+ },
150
+ {
151
+ "prompt_en": "a pink umbrella",
152
+ "color_en": "pink"
153
+ },
154
+ {
155
+ "prompt_en": "a black umbrella",
156
+ "color_en": "black"
157
+ },
158
+ {
159
+ "prompt_en": "a white umbrella",
160
+ "color_en": "white"
161
+ },
162
+ {
163
+ "prompt_en": "a red suitcase",
164
+ "color_en": "red"
165
+ },
166
+ {
167
+ "prompt_en": "a green suitcase",
168
+ "color_en": "green"
169
+ },
170
+ {
171
+ "prompt_en": "a blue suitcase",
172
+ "color_en": "blue"
173
+ },
174
+ {
175
+ "prompt_en": "a yellow suitcase",
176
+ "color_en": "yellow"
177
+ },
178
+ {
179
+ "prompt_en": "an orange suitcase",
180
+ "color_en": "orange"
181
+ },
182
+ {
183
+ "prompt_en": "a purple suitcase",
184
+ "color_en": "purple"
185
+ },
186
+ {
187
+ "prompt_en": "a pink suitcase",
188
+ "color_en": "pink"
189
+ },
190
+ {
191
+ "prompt_en": "a black suitcase",
192
+ "color_en": "black"
193
+ },
194
+ {
195
+ "prompt_en": "a white suitcase",
196
+ "color_en": "white"
197
+ },
198
+ {
199
+ "prompt_en": "a red bowl",
200
+ "color_en": "red"
201
+ },
202
+ {
203
+ "prompt_en": "a green bowl",
204
+ "color_en": "green"
205
+ },
206
+ {
207
+ "prompt_en": "a blue bowl",
208
+ "color_en": "blue"
209
+ },
210
+ {
211
+ "prompt_en": "a yellow bowl",
212
+ "color_en": "yellow"
213
+ },
214
+ {
215
+ "prompt_en": "an orange bowl",
216
+ "color_en": "orange"
217
+ },
218
+ {
219
+ "prompt_en": "a purple bowl",
220
+ "color_en": "purple"
221
+ },
222
+ {
223
+ "prompt_en": "a pink bowl",
224
+ "color_en": "pink"
225
+ },
226
+ {
227
+ "prompt_en": "a black bowl",
228
+ "color_en": "black"
229
+ },
230
+ {
231
+ "prompt_en": "a white bowl",
232
+ "color_en": "white"
233
+ },
234
+ {
235
+ "prompt_en": "a red chair",
236
+ "color_en": "red"
237
+ },
238
+ {
239
+ "prompt_en": "a green chair",
240
+ "color_en": "green"
241
+ },
242
+ {
243
+ "prompt_en": "a blue chair",
244
+ "color_en": "blue"
245
+ },
246
+ {
247
+ "prompt_en": "a yellow chair",
248
+ "color_en": "yellow"
249
+ },
250
+ {
251
+ "prompt_en": "an orange chair",
252
+ "color_en": "orange"
253
+ },
254
+ {
255
+ "prompt_en": "a purple chair",
256
+ "color_en": "purple"
257
+ },
258
+ {
259
+ "prompt_en": "a pink chair",
260
+ "color_en": "pink"
261
+ },
262
+ {
263
+ "prompt_en": "a black chair",
264
+ "color_en": "black"
265
+ },
266
+ {
267
+ "prompt_en": "a white chair",
268
+ "color_en": "white"
269
+ },
270
+ {
271
+ "prompt_en": "a red clock",
272
+ "color_en": "red"
273
+ },
274
+ {
275
+ "prompt_en": "a green clock",
276
+ "color_en": "green"
277
+ },
278
+ {
279
+ "prompt_en": "a blue clock",
280
+ "color_en": "blue"
281
+ },
282
+ {
283
+ "prompt_en": "a yellow clock",
284
+ "color_en": "yellow"
285
+ },
286
+ {
287
+ "prompt_en": "an orange clock",
288
+ "color_en": "orange"
289
+ },
290
+ {
291
+ "prompt_en": "a purple clock",
292
+ "color_en": "purple"
293
+ },
294
+ {
295
+ "prompt_en": "a pink clock",
296
+ "color_en": "pink"
297
+ },
298
+ {
299
+ "prompt_en": "a black clock",
300
+ "color_en": "black"
301
+ },
302
+ {
303
+ "prompt_en": "a white clock",
304
+ "color_en": "white"
305
+ },
306
+ {
307
+ "prompt_en": "a red vase",
308
+ "color_en": "red"
309
+ },
310
+ {
311
+ "prompt_en": "a green vase",
312
+ "color_en": "green"
313
+ },
314
+ {
315
+ "prompt_en": "a blue vase",
316
+ "color_en": "blue"
317
+ },
318
+ {
319
+ "prompt_en": "a yellow vase",
320
+ "color_en": "yellow"
321
+ },
322
+ {
323
+ "prompt_en": "an orange vase",
324
+ "color_en": "orange"
325
+ },
326
+ {
327
+ "prompt_en": "a purple vase",
328
+ "color_en": "purple"
329
+ },
330
+ {
331
+ "prompt_en": "a pink vase",
332
+ "color_en": "pink"
333
+ },
334
+ {
335
+ "prompt_en": "a black vase",
336
+ "color_en": "black"
337
+ },
338
+ {
339
+ "prompt_en": "a white vase",
340
+ "color_en": "white"
341
+ }
342
+ ]
VBench/prompts/metadata/multiple_objects.json ADDED
@@ -0,0 +1,330 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ [
2
+ {
3
+ "prompt_en": "a bird and a cat",
4
+ "object_en": "bird and cat"
5
+ },
6
+ {
7
+ "prompt_en": "a cat and a dog",
8
+ "object_en": "cat and dog"
9
+ },
10
+ {
11
+ "prompt_en": "a dog and a horse",
12
+ "object_en": "dog and horse"
13
+ },
14
+ {
15
+ "prompt_en": "a horse and a sheep",
16
+ "object_en": "horse and sheep"
17
+ },
18
+ {
19
+ "prompt_en": "a sheep and a cow",
20
+ "object_en": "sheep and cow"
21
+ },
22
+ {
23
+ "prompt_en": "a cow and an elephant",
24
+ "object_en": "cow and elephant"
25
+ },
26
+ {
27
+ "prompt_en": "an elephant and a bear",
28
+ "object_en": "elephant and bear"
29
+ },
30
+ {
31
+ "prompt_en": "a bear and a zebra",
32
+ "object_en": "bear and zebra"
33
+ },
34
+ {
35
+ "prompt_en": "a zebra and a giraffe",
36
+ "object_en": "zebra and giraffe"
37
+ },
38
+ {
39
+ "prompt_en": "a giraffe and a bird",
40
+ "object_en": "giraffe and bird"
41
+ },
42
+ {
43
+ "prompt_en": "a chair and a couch",
44
+ "object_en": "chair and couch"
45
+ },
46
+ {
47
+ "prompt_en": "a couch and a potted plant",
48
+ "object_en": "couch and potted plant"
49
+ },
50
+ {
51
+ "prompt_en": "a potted plant and a tv",
52
+ "object_en": "potted plant and tv"
53
+ },
54
+ {
55
+ "prompt_en": "a tv and a laptop",
56
+ "object_en": "tv and laptop"
57
+ },
58
+ {
59
+ "prompt_en": "a laptop and a remote",
60
+ "object_en": "laptop and remote"
61
+ },
62
+ {
63
+ "prompt_en": "a remote and a keyboard",
64
+ "object_en": "remote and keyboard"
65
+ },
66
+ {
67
+ "prompt_en": "a keyboard and a cell phone",
68
+ "object_en": "keyboard and cell phone"
69
+ },
70
+ {
71
+ "prompt_en": "a cell phone and a book",
72
+ "object_en": "cell phone and book"
73
+ },
74
+ {
75
+ "prompt_en": "a book and a clock",
76
+ "object_en": "book and clock"
77
+ },
78
+ {
79
+ "prompt_en": "a clock and a backpack",
80
+ "object_en": "clock and backpack"
81
+ },
82
+ {
83
+ "prompt_en": "a backpack and an umbrella",
84
+ "object_en": "backpack and umbrella"
85
+ },
86
+ {
87
+ "prompt_en": "an umbrella and a handbag",
88
+ "object_en": "umbrella and handbag"
89
+ },
90
+ {
91
+ "prompt_en": "a handbag and a tie",
92
+ "object_en": "handbag and tie"
93
+ },
94
+ {
95
+ "prompt_en": "a tie and a suitcase",
96
+ "object_en": "tie and suitcase"
97
+ },
98
+ {
99
+ "prompt_en": "a suitcase and a vase",
100
+ "object_en": "suitcase and vase"
101
+ },
102
+ {
103
+ "prompt_en": "a vase and scissors",
104
+ "object_en": "vase and scissors"
105
+ },
106
+ {
107
+ "prompt_en": "scissors and a teddy bear",
108
+ "object_en": "scissors and teddy bear"
109
+ },
110
+ {
111
+ "prompt_en": "a teddy bear and a frisbee",
112
+ "object_en": "teddy bear and frisbee"
113
+ },
114
+ {
115
+ "prompt_en": "a frisbee and skis",
116
+ "object_en": "frisbee and skis"
117
+ },
118
+ {
119
+ "prompt_en": "skis and a snowboard",
120
+ "object_en": "skis and snowboard"
121
+ },
122
+ {
123
+ "prompt_en": "a snowboard and a sports ball",
124
+ "object_en": "snowboard and sports ball"
125
+ },
126
+ {
127
+ "prompt_en": "a sports ball and a kite",
128
+ "object_en": "sports ball and kite"
129
+ },
130
+ {
131
+ "prompt_en": "a kite and a baseball bat",
132
+ "object_en": "kite and baseball bat"
133
+ },
134
+ {
135
+ "prompt_en": "a baseball bat and a baseball glove",
136
+ "object_en": "baseball bat and baseball glove"
137
+ },
138
+ {
139
+ "prompt_en": "a baseball glove and a skateboard",
140
+ "object_en": "baseball glove and skateboard"
141
+ },
142
+ {
143
+ "prompt_en": "a skateboard and a surfboard",
144
+ "object_en": "skateboard and surfboard"
145
+ },
146
+ {
147
+ "prompt_en": "a surfboard and a tennis racket",
148
+ "object_en": "surfboard and tennis racket"
149
+ },
150
+ {
151
+ "prompt_en": "a tennis racket and a bottle",
152
+ "object_en": "tennis racket and bottle"
153
+ },
154
+ {
155
+ "prompt_en": "a bottle and a chair",
156
+ "object_en": "bottle and chair"
157
+ },
158
+ {
159
+ "prompt_en": "an airplane and a train",
160
+ "object_en": "airplane and train"
161
+ },
162
+ {
163
+ "prompt_en": "a train and a boat",
164
+ "object_en": "train and boat"
165
+ },
166
+ {
167
+ "prompt_en": "a boat and an airplane",
168
+ "object_en": "boat and airplane"
169
+ },
170
+ {
171
+ "prompt_en": "a bicycle and a car",
172
+ "object_en": "bicycle and car"
173
+ },
174
+ {
175
+ "prompt_en": "a car and a motorcycle",
176
+ "object_en": "car and motorcycle"
177
+ },
178
+ {
179
+ "prompt_en": "a motorcycle and a bus",
180
+ "object_en": "motorcycle and bus"
181
+ },
182
+ {
183
+ "prompt_en": "a bus and a traffic light",
184
+ "object_en": "bus and traffic light"
185
+ },
186
+ {
187
+ "prompt_en": "a traffic light and a fire hydrant",
188
+ "object_en": "traffic light and fire hydrant"
189
+ },
190
+ {
191
+ "prompt_en": "a fire hydrant and a stop sign",
192
+ "object_en": "fire hydrant and stop sign"
193
+ },
194
+ {
195
+ "prompt_en": "a stop sign and a parking meter",
196
+ "object_en": "stop sign and parking meter"
197
+ },
198
+ {
199
+ "prompt_en": "a parking meter and a truck",
200
+ "object_en": "parking meter and truck"
201
+ },
202
+ {
203
+ "prompt_en": "a truck and a bicycle",
204
+ "object_en": "truck and bicycle"
205
+ },
206
+ {
207
+ "prompt_en": "a toilet and a hair drier",
208
+ "object_en": "toilet and hair drier"
209
+ },
210
+ {
211
+ "prompt_en": "a hair drier and a toothbrush",
212
+ "object_en": "hair drier and toothbrush"
213
+ },
214
+ {
215
+ "prompt_en": "a toothbrush and a sink",
216
+ "object_en": "toothbrush and sink"
217
+ },
218
+ {
219
+ "prompt_en": "a sink and a toilet",
220
+ "object_en": "sink and toilet"
221
+ },
222
+ {
223
+ "prompt_en": "a wine glass and a chair",
224
+ "object_en": "wine glass and chair"
225
+ },
226
+ {
227
+ "prompt_en": "a cup and a couch",
228
+ "object_en": "cup and couch"
229
+ },
230
+ {
231
+ "prompt_en": "a fork and a potted plant",
232
+ "object_en": "fork and potted plant"
233
+ },
234
+ {
235
+ "prompt_en": "a knife and a tv",
236
+ "object_en": "knife and tv"
237
+ },
238
+ {
239
+ "prompt_en": "a spoon and a laptop",
240
+ "object_en": "spoon and laptop"
241
+ },
242
+ {
243
+ "prompt_en": "a bowl and a remote",
244
+ "object_en": "bowl and remote"
245
+ },
246
+ {
247
+ "prompt_en": "a banana and a keyboard",
248
+ "object_en": "banana and keyboard"
249
+ },
250
+ {
251
+ "prompt_en": "an apple and a cell phone",
252
+ "object_en": "apple and cell phone"
253
+ },
254
+ {
255
+ "prompt_en": "a sandwich and a book",
256
+ "object_en": "sandwich and book"
257
+ },
258
+ {
259
+ "prompt_en": "an orange and a clock",
260
+ "object_en": "orange and clock"
261
+ },
262
+ {
263
+ "prompt_en": "broccoli and a backpack",
264
+ "object_en": "broccoli and backpack"
265
+ },
266
+ {
267
+ "prompt_en": "a carrot and an umbrella",
268
+ "object_en": "carrot and umbrella"
269
+ },
270
+ {
271
+ "prompt_en": "a hot dog and a handbag",
272
+ "object_en": "hot dog and handbag"
273
+ },
274
+ {
275
+ "prompt_en": "a pizza and a tie",
276
+ "object_en": "pizza and tie"
277
+ },
278
+ {
279
+ "prompt_en": "a donut and a suitcase",
280
+ "object_en": "donut and suitcase"
281
+ },
282
+ {
283
+ "prompt_en": "a cake and a vase",
284
+ "object_en": "cake and vase"
285
+ },
286
+ {
287
+ "prompt_en": "an oven and scissors",
288
+ "object_en": "oven and scissors"
289
+ },
290
+ {
291
+ "prompt_en": "a toaster and a teddy bear",
292
+ "object_en": "toaster and teddy bear"
293
+ },
294
+ {
295
+ "prompt_en": "a microwave and a frisbee",
296
+ "object_en": "microwave and frisbee"
297
+ },
298
+ {
299
+ "prompt_en": "a refrigerator and skis",
300
+ "object_en": "refrigerator and skis"
301
+ },
302
+ {
303
+ "prompt_en": "a bicycle and an airplane",
304
+ "object_en": "bicycle and airplane"
305
+ },
306
+ {
307
+ "prompt_en": "a car and a train",
308
+ "object_en": "car and train"
309
+ },
310
+ {
311
+ "prompt_en": "a motorcycle and a boat",
312
+ "object_en": "motorcycle and boat"
313
+ },
314
+ {
315
+ "prompt_en": "a person and a toilet",
316
+ "object_en": "person and toilet"
317
+ },
318
+ {
319
+ "prompt_en": "a person and a hair drier",
320
+ "object_en": "person and hair drier"
321
+ },
322
+ {
323
+ "prompt_en": "a person and a toothbrush",
324
+ "object_en": "person and toothbrush"
325
+ },
326
+ {
327
+ "prompt_en": "a person and a sink",
328
+ "object_en": "person and sink"
329
+ }
330
+ ]
VBench/prompts/metadata/object_class.json ADDED
@@ -0,0 +1,318 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ [
2
+ {
3
+ "prompt_en": "a person",
4
+ "object_en": "person"
5
+ },
6
+ {
7
+ "prompt_en": "a bicycle",
8
+ "object_en": "bicycle"
9
+ },
10
+ {
11
+ "prompt_en": "a car",
12
+ "object_en": "car"
13
+ },
14
+ {
15
+ "prompt_en": "a motorcycle",
16
+ "object_en": "motorcycle"
17
+ },
18
+ {
19
+ "prompt_en": "an airplane",
20
+ "object_en": "airplane"
21
+ },
22
+ {
23
+ "prompt_en": "a bus",
24
+ "object_en": "bus"
25
+ },
26
+ {
27
+ "prompt_en": "a train",
28
+ "object_en": "train"
29
+ },
30
+ {
31
+ "prompt_en": "a truck",
32
+ "object_en": "truck"
33
+ },
34
+ {
35
+ "prompt_en": "a boat",
36
+ "object_en": "boat"
37
+ },
38
+ {
39
+ "prompt_en": "a traffic light",
40
+ "object_en": "traffic light"
41
+ },
42
+ {
43
+ "prompt_en": "a fire hydrant",
44
+ "object_en": "fire hydrant"
45
+ },
46
+ {
47
+ "prompt_en": "a stop sign",
48
+ "object_en": "stop sign"
49
+ },
50
+ {
51
+ "prompt_en": "a parking meter",
52
+ "object_en": "parking meter"
53
+ },
54
+ {
55
+ "prompt_en": "a bench",
56
+ "object_en": "bench"
57
+ },
58
+ {
59
+ "prompt_en": "a bird",
60
+ "object_en": "bird"
61
+ },
62
+ {
63
+ "prompt_en": "a cat",
64
+ "object_en": "cat"
65
+ },
66
+ {
67
+ "prompt_en": "a dog",
68
+ "object_en": "dog"
69
+ },
70
+ {
71
+ "prompt_en": "a horse",
72
+ "object_en": "horse"
73
+ },
74
+ {
75
+ "prompt_en": "a sheep",
76
+ "object_en": "sheep"
77
+ },
78
+ {
79
+ "prompt_en": "a cow",
80
+ "object_en": "cow"
81
+ },
82
+ {
83
+ "prompt_en": "an elephant",
84
+ "object_en": "elephant"
85
+ },
86
+ {
87
+ "prompt_en": "a bear",
88
+ "object_en": "bear"
89
+ },
90
+ {
91
+ "prompt_en": "a zebra",
92
+ "object_en": "zebra"
93
+ },
94
+ {
95
+ "prompt_en": "a giraffe",
96
+ "object_en": "giraffe"
97
+ },
98
+ {
99
+ "prompt_en": "a backpack",
100
+ "object_en": "backpack"
101
+ },
102
+ {
103
+ "prompt_en": "an umbrella",
104
+ "object_en": "umbrella"
105
+ },
106
+ {
107
+ "prompt_en": "a handbag",
108
+ "object_en": "handbag"
109
+ },
110
+ {
111
+ "prompt_en": "a tie",
112
+ "object_en": "tie"
113
+ },
114
+ {
115
+ "prompt_en": "a suitcase",
116
+ "object_en": "suitcase"
117
+ },
118
+ {
119
+ "prompt_en": "a frisbee",
120
+ "object_en": "frisbee"
121
+ },
122
+ {
123
+ "prompt_en": "skis",
124
+ "object_en": "skis"
125
+ },
126
+ {
127
+ "prompt_en": "a snowboard",
128
+ "object_en": "snowboard"
129
+ },
130
+ {
131
+ "prompt_en": "a sports ball",
132
+ "object_en": "sports ball"
133
+ },
134
+ {
135
+ "prompt_en": "a kite",
136
+ "object_en": "kite"
137
+ },
138
+ {
139
+ "prompt_en": "a baseball bat",
140
+ "object_en": "baseball bat"
141
+ },
142
+ {
143
+ "prompt_en": "a baseball glove",
144
+ "object_en": "baseball glove"
145
+ },
146
+ {
147
+ "prompt_en": "a skateboard",
148
+ "object_en": "skateboard"
149
+ },
150
+ {
151
+ "prompt_en": "a surfboard",
152
+ "object_en": "surfboard"
153
+ },
154
+ {
155
+ "prompt_en": "a tennis racket",
156
+ "object_en": "tennis racket"
157
+ },
158
+ {
159
+ "prompt_en": "a bottle",
160
+ "object_en": "bottle"
161
+ },
162
+ {
163
+ "prompt_en": "a wine glass",
164
+ "object_en": "wine glass"
165
+ },
166
+ {
167
+ "prompt_en": "a cup",
168
+ "object_en": "cup"
169
+ },
170
+ {
171
+ "prompt_en": "a fork",
172
+ "object_en": "fork"
173
+ },
174
+ {
175
+ "prompt_en": "a knife",
176
+ "object_en": "knife"
177
+ },
178
+ {
179
+ "prompt_en": "a spoon",
180
+ "object_en": "spoon"
181
+ },
182
+ {
183
+ "prompt_en": "a bowl",
184
+ "object_en": "bowl"
185
+ },
186
+ {
187
+ "prompt_en": "a banana",
188
+ "object_en": "banana"
189
+ },
190
+ {
191
+ "prompt_en": "an apple",
192
+ "object_en": "apple"
193
+ },
194
+ {
195
+ "prompt_en": "a sandwich",
196
+ "object_en": "sandwich"
197
+ },
198
+ {
199
+ "prompt_en": "an orange",
200
+ "object_en": "orange"
201
+ },
202
+ {
203
+ "prompt_en": "broccoli",
204
+ "object_en": "broccoli"
205
+ },
206
+ {
207
+ "prompt_en": "a carrot",
208
+ "object_en": "carrot"
209
+ },
210
+ {
211
+ "prompt_en": "a hot dog",
212
+ "object_en": "hot dog"
213
+ },
214
+ {
215
+ "prompt_en": "a pizza",
216
+ "object_en": "pizza"
217
+ },
218
+ {
219
+ "prompt_en": "a donut",
220
+ "object_en": "donut"
221
+ },
222
+ {
223
+ "prompt_en": "a cake",
224
+ "object_en": "cake"
225
+ },
226
+ {
227
+ "prompt_en": "a chair",
228
+ "object_en": "chair"
229
+ },
230
+ {
231
+ "prompt_en": "a couch",
232
+ "object_en": "couch"
233
+ },
234
+ {
235
+ "prompt_en": "a potted plant",
236
+ "object_en": "potted plant"
237
+ },
238
+ {
239
+ "prompt_en": "a bed",
240
+ "object_en": "bed"
241
+ },
242
+ {
243
+ "prompt_en": "a dining table",
244
+ "object_en": "dining table"
245
+ },
246
+ {
247
+ "prompt_en": "a toilet",
248
+ "object_en": "toilet"
249
+ },
250
+ {
251
+ "prompt_en": "a tv",
252
+ "object_en": "tv"
253
+ },
254
+ {
255
+ "prompt_en": "a laptop",
256
+ "object_en": "laptop"
257
+ },
258
+ {
259
+ "prompt_en": "a remote",
260
+ "object_en": "remote"
261
+ },
262
+ {
263
+ "prompt_en": "a keyboard",
264
+ "object_en": "keyboard"
265
+ },
266
+ {
267
+ "prompt_en": "a cell phone",
268
+ "object_en": "cell phone"
269
+ },
270
+ {
271
+ "prompt_en": "a microwave",
272
+ "object_en": "microwave"
273
+ },
274
+ {
275
+ "prompt_en": "an oven",
276
+ "object_en": "oven"
277
+ },
278
+ {
279
+ "prompt_en": "a toaster",
280
+ "object_en": "toaster"
281
+ },
282
+ {
283
+ "prompt_en": "a sink",
284
+ "object_en": "sink"
285
+ },
286
+ {
287
+ "prompt_en": "a refrigerator",
288
+ "object_en": "refrigerator"
289
+ },
290
+ {
291
+ "prompt_en": "a book",
292
+ "object_en": "book"
293
+ },
294
+ {
295
+ "prompt_en": "a clock",
296
+ "object_en": "clock"
297
+ },
298
+ {
299
+ "prompt_en": "a vase",
300
+ "object_en": "vase"
301
+ },
302
+ {
303
+ "prompt_en": "scissors",
304
+ "object_en": "scissors"
305
+ },
306
+ {
307
+ "prompt_en": "a teddy bear",
308
+ "object_en": "teddy bear"
309
+ },
310
+ {
311
+ "prompt_en": "a hair drier",
312
+ "object_en": "hair drier"
313
+ },
314
+ {
315
+ "prompt_en": "a toothbrush",
316
+ "object_en": "toothbrush"
317
+ }
318
+ ]
VBench/prompts/metadata/spatial_relationship.json ADDED
@@ -0,0 +1,506 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ [
2
+ {
3
+ "prompt_en": "a bicycle on the left of a car, front view",
4
+ "object_a_en": "bicycle",
5
+ "object_b_en": "car",
6
+ "relationship_en": "on the left of"
7
+ },
8
+ {
9
+ "prompt_en": "a car on the right of a motorcycle, front view",
10
+ "object_a_en": "car",
11
+ "object_b_en": "motorcycle",
12
+ "relationship_en": "on the right of"
13
+ },
14
+ {
15
+ "prompt_en": "a motorcycle on the left of a bus, front view",
16
+ "object_a_en": "motorcycle",
17
+ "object_b_en": "bus",
18
+ "relationship_en": "on the left of"
19
+ },
20
+ {
21
+ "prompt_en": "a bus on the right of a traffic light, front view",
22
+ "object_a_en": "bus",
23
+ "object_b_en": "traffic light",
24
+ "relationship_en": "on the right of"
25
+ },
26
+ {
27
+ "prompt_en": "a traffic light on the left of a fire hydrant, front view",
28
+ "object_a_en": "traffic light",
29
+ "object_b_en": "fire hydrant",
30
+ "relationship_en": "on the left of"
31
+ },
32
+ {
33
+ "prompt_en": "a fire hydrant on the right of a stop sign, front view",
34
+ "object_a_en": "fire hydrant",
35
+ "object_b_en": "stop sign",
36
+ "relationship_en": "on the right of"
37
+ },
38
+ {
39
+ "prompt_en": "a stop sign on the left of a parking meter, front view",
40
+ "object_a_en": "stop sign",
41
+ "object_b_en": "parking meter",
42
+ "relationship_en": "on the left of"
43
+ },
44
+ {
45
+ "prompt_en": "a parking meter on the right of a bench, front view",
46
+ "object_a_en": "parking meter",
47
+ "object_b_en": "bench",
48
+ "relationship_en": "on the right of"
49
+ },
50
+ {
51
+ "prompt_en": "a bench on the left of a truck, front view",
52
+ "object_a_en": "bench",
53
+ "object_b_en": "truck",
54
+ "relationship_en": "on the left of"
55
+ },
56
+ {
57
+ "prompt_en": "a truck on the right of a bicycle, front view",
58
+ "object_a_en": "truck",
59
+ "object_b_en": "bicycle",
60
+ "relationship_en": "on the right of"
61
+ },
62
+ {
63
+ "prompt_en": "a bird on the left of a cat, front view",
64
+ "object_a_en": "bird",
65
+ "object_b_en": "cat",
66
+ "relationship_en": "on the left of"
67
+ },
68
+ {
69
+ "prompt_en": "a cat on the right of a dog, front view",
70
+ "object_a_en": "cat",
71
+ "object_b_en": "dog",
72
+ "relationship_en": "on the right of"
73
+ },
74
+ {
75
+ "prompt_en": "a dog on the left of a horse, front view",
76
+ "object_a_en": "dog",
77
+ "object_b_en": "horse",
78
+ "relationship_en": "on the left of"
79
+ },
80
+ {
81
+ "prompt_en": "a horse on the right of a sheep, front view",
82
+ "object_a_en": "horse",
83
+ "object_b_en": "sheep",
84
+ "relationship_en": "on the right of"
85
+ },
86
+ {
87
+ "prompt_en": "a sheep on the left of a cow, front view",
88
+ "object_a_en": "sheep",
89
+ "object_b_en": "cow",
90
+ "relationship_en": "on the left of"
91
+ },
92
+ {
93
+ "prompt_en": "a cow on the right of an elephant, front view",
94
+ "object_a_en": "cow",
95
+ "object_b_en": "elephant",
96
+ "relationship_en": "on the right of"
97
+ },
98
+ {
99
+ "prompt_en": "an elephant on the left of a bear, front view",
100
+ "object_a_en": "elephant",
101
+ "object_b_en": "bear",
102
+ "relationship_en": "on the left of"
103
+ },
104
+ {
105
+ "prompt_en": "a bear on the right of a zebra, front view",
106
+ "object_a_en": "bear",
107
+ "object_b_en": "zebra",
108
+ "relationship_en": "on the right of"
109
+ },
110
+ {
111
+ "prompt_en": "a zebra on the left of a giraffe, front view",
112
+ "object_a_en": "zebra",
113
+ "object_b_en": "giraffe",
114
+ "relationship_en": "on the left of"
115
+ },
116
+ {
117
+ "prompt_en": "a giraffe on the right of a bird, front view",
118
+ "object_a_en": "giraffe",
119
+ "object_b_en": "bird",
120
+ "relationship_en": "on the right of"
121
+ },
122
+ {
123
+ "prompt_en": "a bottle on the left of a wine glass, front view",
124
+ "object_a_en": "bottle",
125
+ "object_b_en": "wine glass",
126
+ "relationship_en": "on the left of"
127
+ },
128
+ {
129
+ "prompt_en": "a wine glass on the right of a cup, front view",
130
+ "object_a_en": "wine glass",
131
+ "object_b_en": "cup",
132
+ "relationship_en": "on the right of"
133
+ },
134
+ {
135
+ "prompt_en": "a cup on the left of a fork, front view",
136
+ "object_a_en": "cup",
137
+ "object_b_en": "fork",
138
+ "relationship_en": "on the left of"
139
+ },
140
+ {
141
+ "prompt_en": "a fork on the right of a knife, front view",
142
+ "object_a_en": "fork",
143
+ "object_b_en": "knife",
144
+ "relationship_en": "on the right of"
145
+ },
146
+ {
147
+ "prompt_en": "a knife on the left of a spoon, front view",
148
+ "object_a_en": "knife",
149
+ "object_b_en": "spoon",
150
+ "relationship_en": "on the left of"
151
+ },
152
+ {
153
+ "prompt_en": "a spoon on the right of a bowl, front view",
154
+ "object_a_en": "spoon",
155
+ "object_b_en": "bowl",
156
+ "relationship_en": "on the right of"
157
+ },
158
+ {
159
+ "prompt_en": "a bowl on the left of a bottle, front view",
160
+ "object_a_en": "bowl",
161
+ "object_b_en": "bottle",
162
+ "relationship_en": "on the left of"
163
+ },
164
+ {
165
+ "prompt_en": "a potted plant on the left of a remote, front view",
166
+ "object_a_en": "potted plant",
167
+ "object_b_en": "remote",
168
+ "relationship_en": "on the left of"
169
+ },
170
+ {
171
+ "prompt_en": "a remote on the right of a clock, front view",
172
+ "object_a_en": "remote",
173
+ "object_b_en": "clock",
174
+ "relationship_en": "on the right of"
175
+ },
176
+ {
177
+ "prompt_en": "a clock on the left of a vase, front view",
178
+ "object_a_en": "clock",
179
+ "object_b_en": "vase",
180
+ "relationship_en": "on the left of"
181
+ },
182
+ {
183
+ "prompt_en": "a vase on the right of scissors, front view",
184
+ "object_a_en": "vase",
185
+ "object_b_en": "scissors",
186
+ "relationship_en": "on the right of"
187
+ },
188
+ {
189
+ "prompt_en": "scissors on the left of a teddy bear, front view",
190
+ "object_a_en": "scissors",
191
+ "object_b_en": "teddy bear",
192
+ "relationship_en": "on the left of"
193
+ },
194
+ {
195
+ "prompt_en": "a teddy bear on the right of a potted plant, front view",
196
+ "object_a_en": "teddy bear",
197
+ "object_b_en": "potted plant",
198
+ "relationship_en": "on the right of"
199
+ },
200
+ {
201
+ "prompt_en": "a frisbee on the left of a sports ball, front view",
202
+ "object_a_en": "frisbee",
203
+ "object_b_en": "sports ball",
204
+ "relationship_en": "on the left of"
205
+ },
206
+ {
207
+ "prompt_en": "a sports ball on the right of a baseball bat, front view",
208
+ "object_a_en": "sports ball",
209
+ "object_b_en": "baseball bat",
210
+ "relationship_en": "on the right of"
211
+ },
212
+ {
213
+ "prompt_en": "a baseball bat on the left of a baseball glove, front view",
214
+ "object_a_en": "baseball bat",
215
+ "object_b_en": "baseball glove",
216
+ "relationship_en": "on the left of"
217
+ },
218
+ {
219
+ "prompt_en": "a baseball glove on the right of a tennis racket, front view",
220
+ "object_a_en": "baseball glove",
221
+ "object_b_en": "tennis racket",
222
+ "relationship_en": "on the right of"
223
+ },
224
+ {
225
+ "prompt_en": "a tennis racket on the left of a frisbee, front view",
226
+ "object_a_en": "tennis racket",
227
+ "object_b_en": "frisbee",
228
+ "relationship_en": "on the left of"
229
+ },
230
+ {
231
+ "prompt_en": "a toilet on the left of a hair drier, front view",
232
+ "object_a_en": "toilet",
233
+ "object_b_en": "hair drier",
234
+ "relationship_en": "on the left of"
235
+ },
236
+ {
237
+ "prompt_en": "a hair drier on the right of a toothbrush, front view",
238
+ "object_a_en": "hair drier",
239
+ "object_b_en": "toothbrush",
240
+ "relationship_en": "on the right of"
241
+ },
242
+ {
243
+ "prompt_en": "a toothbrush on the left of a sink, front view",
244
+ "object_a_en": "toothbrush",
245
+ "object_b_en": "sink",
246
+ "relationship_en": "on the left of"
247
+ },
248
+ {
249
+ "prompt_en": "a sink on the right of a toilet, front view",
250
+ "object_a_en": "sink",
251
+ "object_b_en": "toilet",
252
+ "relationship_en": "on the right of"
253
+ },
254
+ {
255
+ "prompt_en": "a chair on the left of a couch, front view",
256
+ "object_a_en": "chair",
257
+ "object_b_en": "couch",
258
+ "relationship_en": "on the left of"
259
+ },
260
+ {
261
+ "prompt_en": "a couch on the right of a bed, front view",
262
+ "object_a_en": "couch",
263
+ "object_b_en": "bed",
264
+ "relationship_en": "on the right of"
265
+ },
266
+ {
267
+ "prompt_en": "a bed on the left of a tv, front view",
268
+ "object_a_en": "bed",
269
+ "object_b_en": "tv",
270
+ "relationship_en": "on the left of"
271
+ },
272
+ {
273
+ "prompt_en": "a tv on the right of a dining table, front view",
274
+ "object_a_en": "tv",
275
+ "object_b_en": "dining table",
276
+ "relationship_en": "on the right of"
277
+ },
278
+ {
279
+ "prompt_en": "a dining table on the left of a chair, front view",
280
+ "object_a_en": "dining table",
281
+ "object_b_en": "chair",
282
+ "relationship_en": "on the left of"
283
+ },
284
+ {
285
+ "prompt_en": "an airplane on the left of a train, front view",
286
+ "object_a_en": "airplane",
287
+ "object_b_en": "train",
288
+ "relationship_en": "on the left of"
289
+ },
290
+ {
291
+ "prompt_en": "a train on the right of a boat, front view",
292
+ "object_a_en": "train",
293
+ "object_b_en": "boat",
294
+ "relationship_en": "on the right of"
295
+ },
296
+ {
297
+ "prompt_en": "a boat on the left of an airplane, front view",
298
+ "object_a_en": "boat",
299
+ "object_b_en": "airplane",
300
+ "relationship_en": "on the left of"
301
+ },
302
+ {
303
+ "prompt_en": "an oven on the top of a toaster, front view",
304
+ "object_a_en": "oven",
305
+ "object_b_en": "toaster",
306
+ "relationship_en": "on the top of"
307
+ },
308
+ {
309
+ "prompt_en": "an oven on the bottom of a toaster, front view",
310
+ "object_a_en": "oven",
311
+ "object_b_en": "toaster",
312
+ "relationship_en": "on the bottom of"
313
+ },
314
+ {
315
+ "prompt_en": "a toaster on the top of a microwave, front view",
316
+ "object_a_en": "toaster",
317
+ "object_b_en": "microwave",
318
+ "relationship_en": "on the top of"
319
+ },
320
+ {
321
+ "prompt_en": "a toaster on the bottom of a microwave, front view",
322
+ "object_a_en": "toaster",
323
+ "object_b_en": "microwave",
324
+ "relationship_en": "on the bottom of"
325
+ },
326
+ {
327
+ "prompt_en": "a microwave on the top of an oven, front view",
328
+ "object_a_en": "microwave",
329
+ "object_b_en": "oven",
330
+ "relationship_en": "on the top of"
331
+ },
332
+ {
333
+ "prompt_en": "a microwave on the bottom of an oven, front view",
334
+ "object_a_en": "microwave",
335
+ "object_b_en": "oven",
336
+ "relationship_en": "on the bottom of"
337
+ },
338
+ {
339
+ "prompt_en": "a banana on the top of an apple, front view",
340
+ "object_a_en": "banana",
341
+ "object_b_en": "apple",
342
+ "relationship_en": "on the top of"
343
+ },
344
+ {
345
+ "prompt_en": "a banana on the bottom of an apple, front view",
346
+ "object_a_en": "banana",
347
+ "object_b_en": "apple",
348
+ "relationship_en": "on the bottom of"
349
+ },
350
+ {
351
+ "prompt_en": "an apple on the top of a sandwich, front view",
352
+ "object_a_en": "apple",
353
+ "object_b_en": "sandwich",
354
+ "relationship_en": "on the top of"
355
+ },
356
+ {
357
+ "prompt_en": "an apple on the bottom of a sandwich, front view",
358
+ "object_a_en": "apple",
359
+ "object_b_en": "sandwich",
360
+ "relationship_en": "on the bottom of"
361
+ },
362
+ {
363
+ "prompt_en": "a sandwich on the top of an orange, front view",
364
+ "object_a_en": "sandwich",
365
+ "object_b_en": "orange",
366
+ "relationship_en": "on the top of"
367
+ },
368
+ {
369
+ "prompt_en": "a sandwich on the bottom of an orange, front view",
370
+ "object_a_en": "sandwich",
371
+ "object_b_en": "orange",
372
+ "relationship_en": "on the bottom of"
373
+ },
374
+ {
375
+ "prompt_en": "an orange on the top of a carrot, front view",
376
+ "object_a_en": "orange",
377
+ "object_b_en": "carrot",
378
+ "relationship_en": "on the top of"
379
+ },
380
+ {
381
+ "prompt_en": "an orange on the bottom of a carrot, front view",
382
+ "object_a_en": "orange",
383
+ "object_b_en": "carrot",
384
+ "relationship_en": "on the bottom of"
385
+ },
386
+ {
387
+ "prompt_en": "a carrot on the top of a hot dog, front view",
388
+ "object_a_en": "carrot",
389
+ "object_b_en": "hot dog",
390
+ "relationship_en": "on the top of"
391
+ },
392
+ {
393
+ "prompt_en": "a carrot on the bottom of a hot dog, front view",
394
+ "object_a_en": "carrot",
395
+ "object_b_en": "hot dog",
396
+ "relationship_en": "on the bottom of"
397
+ },
398
+ {
399
+ "prompt_en": "a hot dog on the top of a pizza, front view",
400
+ "object_a_en": "hot dog",
401
+ "object_b_en": "pizza",
402
+ "relationship_en": "on the top of"
403
+ },
404
+ {
405
+ "prompt_en": "a hot dog on the bottom of a pizza, front view",
406
+ "object_a_en": "hot dog",
407
+ "object_b_en": "pizza",
408
+ "relationship_en": "on the bottom of"
409
+ },
410
+ {
411
+ "prompt_en": "a pizza on the top of a donut, front view",
412
+ "object_a_en": "pizza",
413
+ "object_b_en": "donut",
414
+ "relationship_en": "on the top of"
415
+ },
416
+ {
417
+ "prompt_en": "a pizza on the bottom of a donut, front view",
418
+ "object_a_en": "pizza",
419
+ "object_b_en": "donut",
420
+ "relationship_en": "on the bottom of"
421
+ },
422
+ {
423
+ "prompt_en": "a donut on the top of broccoli, front view",
424
+ "object_a_en": "donut",
425
+ "object_b_en": "broccoli",
426
+ "relationship_en": "on the top of"
427
+ },
428
+ {
429
+ "prompt_en": "a donut on the bottom of broccoli, front view",
430
+ "object_a_en": "donut",
431
+ "object_b_en": "broccoli",
432
+ "relationship_en": "on the bottom of"
433
+ },
434
+ {
435
+ "prompt_en": "broccoli on the top of a banana, front view",
436
+ "object_a_en": "broccoli",
437
+ "object_b_en": "banana",
438
+ "relationship_en": "on the top of"
439
+ },
440
+ {
441
+ "prompt_en": "broccoli on the bottom of a banana, front view",
442
+ "object_a_en": "broccoli",
443
+ "object_b_en": "banana",
444
+ "relationship_en": "on the bottom of"
445
+ },
446
+ {
447
+ "prompt_en": "skis on the top of a snowboard, front view",
448
+ "object_a_en": "skis",
449
+ "object_b_en": "snowboard",
450
+ "relationship_en": "on the top of"
451
+ },
452
+ {
453
+ "prompt_en": "skis on the bottom of a snowboard, front view",
454
+ "object_a_en": "skis",
455
+ "object_b_en": "snowboard",
456
+ "relationship_en": "on the bottom of"
457
+ },
458
+ {
459
+ "prompt_en": "a snowboard on the top of a kite, front view",
460
+ "object_a_en": "snowboard",
461
+ "object_b_en": "kite",
462
+ "relationship_en": "on the top of"
463
+ },
464
+ {
465
+ "prompt_en": "a snowboard on the bottom of a kite, front view",
466
+ "object_a_en": "snowboard",
467
+ "object_b_en": "kite",
468
+ "relationship_en": "on the bottom of"
469
+ },
470
+ {
471
+ "prompt_en": "a kite on the top of a skateboard, front view",
472
+ "object_a_en": "kite",
473
+ "object_b_en": "skateboard",
474
+ "relationship_en": "on the top of"
475
+ },
476
+ {
477
+ "prompt_en": "a kite on the bottom of a skateboard, front view",
478
+ "object_a_en": "kite",
479
+ "object_b_en": "skateboard",
480
+ "relationship_en": "on the bottom of"
481
+ },
482
+ {
483
+ "prompt_en": "a skateboard on the top of a surfboard, front view",
484
+ "object_a_en": "skateboard",
485
+ "object_b_en": "surfboard",
486
+ "relationship_en": "on the top of"
487
+ },
488
+ {
489
+ "prompt_en": "a skateboard on the bottom of a surfboard, front view",
490
+ "object_a_en": "skateboard",
491
+ "object_b_en": "surfboard",
492
+ "relationship_en": "on the bottom of"
493
+ },
494
+ {
495
+ "prompt_en": "a surfboard on the top of skis, front view",
496
+ "object_a_en": "surfboard",
497
+ "object_b_en": "skis",
498
+ "relationship_en": "on the top of"
499
+ },
500
+ {
501
+ "prompt_en": "a surfboard on the bottom of skis, front view",
502
+ "object_a_en": "surfboard",
503
+ "object_b_en": "skis",
504
+ "relationship_en": "on the bottom of"
505
+ }
506
+ ]
VBench/prompts/prompts_per_category/animal.txt ADDED
@@ -0,0 +1,100 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ a black dog wearing halloween costume
2
+ spider making a web
3
+ bat eating fruits while hanging
4
+ a snake crawling on a wooden flooring
5
+ a close up video of a dragonfly
6
+ macro shot of ladybug on green leaf plant
7
+ chameleon eating ant
8
+ a bee feeding on nectars
9
+ bird nests on a tree captured with moving camera
10
+ a squirrel eating nuts
11
+ close up video of snail
12
+ top view of a hermit crab crawling on a wooden surface
13
+ cat licking another cat
14
+ red dragonfly perched on green leaf
15
+ close up view of a brown caterpillar crawling on green leaf
16
+ ants eating dead spider
17
+ an eagle on a tree branch
18
+ a frog eating an ant
19
+ white rabbit near the fence
20
+ a gorilla eating a carrot
21
+ close up of wolf
22
+ a meerkat looking around
23
+ a hyena in a zoo
24
+ lemur eating grass leaves
25
+ an owl being trained by a man
26
+ a lizard on a bamboo
27
+ brown chicken hunting for its food
28
+ video of parrots perched on bird stand
29
+ underwater footage of an octopus in a coral reef
30
+ a cute pomeranian dog playing with a soccer ball
31
+ white fox on rock
32
+ close up footage of a horse figurine
33
+ giraffe feeding on a tree in a savannah
34
+ curious cat sitting and looking around
35
+ hummingbird hawk moth flying near pink flowers
36
+ close up of a scorpion on a rock
37
+ close up on fish in net
38
+ koala eating leaves from a branch
39
+ a pod of dolphins swirling in the sea catching forage fish
40
+ low angle view of a hawk perched on a tree branch
41
+ a lion standing on wild grass
42
+ deer grazing in the field
43
+ elephant herd in a savanna
44
+ close up on lobster under water
45
+ hedgehog crossing road in forest
46
+ a sheep eating yellow flowers from behind a wire fence
47
+ twin sisters and a turtle
48
+ a pig wallowing in mud
49
+ flock of goose eating on the lake water
50
+ cow in a field irritated with flies
51
+ a close up shot of a fly
52
+ cheetah lying on the grass
53
+ close up of a lemur
54
+ close up shot of a kangaroo itching in the sand
55
+ a tortoise covered with algae
56
+ turkey in cage
57
+ a great blue heron bird in the lakeside
58
+ crab with shell in aquarium
59
+ a seagull walking on shore
60
+ an american crocodile
61
+ a tiger walking inside a cage
62
+ alligator in the nature
63
+ a raccoon climbing a tree
64
+ wild rabbit in a green meadow
65
+ group of ring tailed lemurs
66
+ a clouded leopard on a tree branch
67
+ duck grooming its feathers
68
+ an african penguin walking on a beach
69
+ a video of a peacock
70
+ close up shot of a wild bear
71
+ baby rhino plays with mom
72
+ porcupine climbs tree branches
73
+ close up of a natterjack toad on a rock
74
+ a sleeping orangutan
75
+ mother whale swimming with babies
76
+ a bear wearing red jersey
77
+ pink jellyfish swimming underwater in a blue sea
78
+ beautiful clown fish swimming
79
+ animation of disposable objects shaped as a whale
80
+ paper cut out of a pair of hands a whale and a heart
81
+ vertical video of camel roaming in the field during daytime
82
+ a still video of mosquito biting human
83
+ a curious sloth hanging from a tree branch
84
+ a plastic flamingo bird stumbles from the wind
85
+ a wolf in its natural habitat
86
+ a monkey sitting in the stone and scratching his head
87
+ bat hanging upside down
88
+ a red panda eating leaves
89
+ snake on ground
90
+ a harbour seal swimming near the shore
91
+ shark swimming in the sea
92
+ otter on branch while eating
93
+ goat standing over a rock
94
+ a troop of monkey on top of a mountain
95
+ a zebra eating grass on the field
96
+ a colorful butterfly perching on a bud
97
+ a snail crawling on a leaf
98
+ zookeeper showering a baby elephant
99
+ a beetle emerging from the sand
100
+ a nine banded armadillo searching for food
VBench/prompts/prompts_per_category/architecture.txt ADDED
@@ -0,0 +1,100 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ an apartment building with balcony
2
+ asian garden and medieval castle
3
+ illuminated tower in berlin
4
+ a wooden house overseeing the lake
5
+ a crowd of people in a plaza in front of a government building
6
+ a church interior
7
+ jewish friends posing with hanukkah menorah in a cabin house
8
+ a destroyed building after a missile attack in ukraine
9
+ abandoned building in the woods
10
+ drone video of an abandoned school building in pripyat ukraine
11
+ elegant university building
12
+ architecture and designs of buildings in central london
13
+ a pancake tower with chocolate syrup and strawberries on top
14
+ an ancient white building
15
+ friends hanging out at a coffee house
16
+ house front door with christmas decorations
17
+ city night dark building
18
+ a bird house hanging on a tree branch
19
+ sacred sculpture in a temple
20
+ high angle shot of a clock tower
21
+ modern wooden house interior
22
+ the interior of an abandoned building
23
+ opera house overlooking sea
24
+ a concrete structure near the green trees
25
+ dome like building in scotland
26
+ low angle shot of a building
27
+ tower on hill
28
+ a miniature house
29
+ eiffel tower from the seine river
30
+ low angle footage of an apartment building
31
+ island with pier and antique building
32
+ asian historic architecture
33
+ drone footage of a beautiful mansion
34
+ mosque in the middle east
35
+ building a tent and hammock in the forest camping site
36
+ top view of a high rise building
37
+ house covered in snow
38
+ skyscraper at night
39
+ house in village
40
+ a casino with people outside the building
41
+ silhouette of a building
42
+ a woman climbing a tree house
43
+ drone view of house near lake during golden hour
44
+ an under construction concrete house
45
+ a watch tower by the sea
46
+ exterior view of arabic style building
47
+ video of a hotel building
48
+ red paper lantern decorations hanging outside a building
49
+ house on seashore
50
+ aerial footage of the palace of culture and science building in warsaw poland
51
+ aerial video of stuttgart tv tower in germany
52
+ aerial view of the highway and building in a city
53
+ drone shot of a skyscraper san francisco california usa
54
+ waterfall and house
55
+ view of the sky through a building
56
+ drone footage of a house on top of the mountain
57
+ abandoned house in the nature
58
+ clouds hovering over a mansion
59
+ light house on the ocean
60
+ buddhist temple at sunrise
61
+ people walking by a graveyard near a mosque at sunset
62
+ view of lifeguard tower on the beach
63
+ scenic view of a house in the mountains
64
+ the landscape in front of a government building
65
+ aerial footage of a building and its surrounding landscape in winter
66
+ time lapse of a cloudy sky behind a transmission tower
67
+ blue ocean near the brown castle
68
+ fog over temple
69
+ house in countryside top view
70
+ building under construction
71
+ turkish flag waving on old tower
72
+ the georgian building
73
+ close up shot of a steel structure
74
+ the atrium and interior design of a multi floor building
75
+ city view reflected on a glass building
76
+ aerial view of a luxurious house with pool
77
+ an unpaved road leading to the house
78
+ drone footage of a lookout tower in mountain landscape
79
+ wind turbines on hill behind building
80
+ time lapse footage of the sun light in front of a small house porch
81
+ a building built with lots of stairways
82
+ overcast over house on seashore
83
+ the view of the sydney opera house from the other side of the harbor
84
+ candle on a jar and a house figurine on a surface
85
+ video of a farm and house
86
+ a dilapidated building made of bricks
87
+ a view of a unique building from a moving vehicle
88
+ aerial footage of a tall building in cambodia
89
+ push in shot of a huge house
90
+ a beach house built over a seawall protected from the sea waves
91
+ exotic house surrounded by trees
92
+ drone video of a house surrounded by tropical vegetation
93
+ drone footage of a building beside a pond
94
+ observation tower on hill in forest
95
+ a tree house in the woods
96
+ a video of vessel structure during daytime
97
+ fire in front of illuminated building at night
98
+ a footage of a wooden house on a wheat field
99
+ tilt shot of a solar panel below a light tower
100
+ water tower on the desert
VBench/prompts/prompts_per_category/food.txt ADDED
@@ -0,0 +1,100 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ freshly baked finger looking cookies
2
+ video of fake blood in wine glass
3
+ halloween food art
4
+ a person slicing a vegetable
5
+ a serving of pumpkin dish in a plate
6
+ close up view of green leafy vegetable
7
+ a birthday cake in the plate
8
+ video of a slice papaya fruit
9
+ a muffin with a burning candle and a love sign by a ceramic mug
10
+ a jack o lantern designed cookie
11
+ baked bread with chocolate
12
+ a broccoli soup on wooden table
13
+ a freshly brewed coffee on a pink mug
14
+ grabbing sourdough neapolitan style pizza slices
15
+ person cooking mushrooms in frying pan
16
+ rice grains placed on a reusable cloth bag
17
+ slices of kiwi fruit
18
+ grilling a steak on a pan grill
19
+ close up of bread popping out of a toaster
20
+ man eating noodle
21
+ preparing a cocktail drink
22
+ close up pasta with bacon on plate
23
+ milk and cinnamon rolls
24
+ boy getting a dumpling using chopsticks
25
+ a mother preparing food with her kids
26
+ man using his phone while eating
27
+ fresh salmon salad on a plate
28
+ cutting cucumbers into long thin slices as ingredient for sushi roll
29
+ a steaming cup of tea by the window
30
+ a glass filled with beer
31
+ a kid eating popcorn while watching tv
32
+ close up shot of fried fish on the plate
33
+ a man eating a donut
34
+ person making a vegetarian dish
35
+ spreading cheese on bagel
36
+ close up view of a man drinking red wine
37
+ a couple having breakfast in a restaurant
38
+ a student eating her sandwich
39
+ girl peeling a banana
40
+ red rice in a small bowl
41
+ pancake with blueberry on the top
42
+ green apple fruit on white wooden table
43
+ a man eating a taco by the bar
44
+ making of a burrito
45
+ squeezing lemon into salad
46
+ a chef cutting sushi rolls
47
+ video of a delicious dessert
48
+ deep frying a crab on a wok in high fire
49
+ close up video of a orange juice
50
+ video of a cooked chicken breast
51
+ woman holding a pineapple
52
+ a woman eating a bar of chocolate
53
+ decorating christmas cookie
54
+ squeezing a slice of fruit
55
+ tuna sashimi on a plate
56
+ a strawberry fruit mixed in an alcoholic drink
57
+ preparing hot dogs in a grill
58
+ a woman cutting a tomato
59
+ an orange fruit cut in half
60
+ a coconut fruit with drinking straw
61
+ woman holding a dragon fruit
62
+ a woman pouring hot beverage on a cup
63
+ waffles with whipped cream and fruit
64
+ focus shot of an insect at the bottom of a fruit
65
+ preparing a healthy broccoli dish
66
+ man eating snack at picnic
67
+ close up video of a grilled shrimp skewer
68
+ a woman mixing a smoothie drinks
69
+ close up video of woman having a bite of jelly
70
+ businessman drinking whiskey at the bar counter of a hotel lounge
71
+ cutting an onion with a knife over a wooden chopping board
72
+ fresh lemonade in bottles
73
+ grilling a meat on a charcoal grill
74
+ people enjoying asian cuisine
75
+ close up footage of a hot dish on a clay pot
76
+ pork ribs dish
77
+ waffle with strawberry and syrup for breakfast
78
+ tofu dish with rose garnish
79
+ uncooked pork meat
80
+ egg yolk being dumped over gourmet dish
81
+ tasty brunch dish close up
82
+ little boy pretending to eat the watermelon
83
+ slicing roasted beef
84
+ close up of a chef adding teriyaki sauce to a dish
85
+ flat lay mexican dish
86
+ a person placing an octopus dish on a marble surface
87
+ close up of tea leaves brewing in a glass kettle
88
+ adding fresh herbs to soup dish
89
+ a scoop of roasted coffee beans
90
+ fresh dim sum set up on a bamboo steam tray for cooking
91
+ a girl putting ketchup on food at the kitchen
92
+ cooking on electric stove
93
+ a woman with a slice of a pie
94
+ grapes and wine on a wooden board
95
+ man taking picture of his food
96
+ hamburger and fries on restaurant table
97
+ close up video of japanese food
98
+ a cracker sandwich with cheese filling for snack
99
+ barista preparing matcha tea
100
+ close up of onion rings being deep fried
VBench/prompts/prompts_per_category/human.txt ADDED
@@ -0,0 +1,100 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ people carving a pumpkin
2
+ people sitting on a sofa
3
+ a man with a muertos face painting
4
+ man walking in the dark
5
+ men in front of their computer editing photos
6
+ men loading christmas tree on tow truck
7
+ woman washing the dishes
8
+ woman adding honey to the cinnamon rolls
9
+ two women kissing and smiling
10
+ three women looking at watercolor paintings
11
+ a family wearing paper bag masks
12
+ a family posing for the camera
13
+ a boy covering a rose flower with a dome glass
14
+ boy sitting on grass petting a dog
15
+ a girl in her tennis sportswear
16
+ a girl coloring the cardboard
17
+ silhouette of the couple during sunset
18
+ couple dancing with body paint
19
+ a child playing with water
20
+ a woman with her child sitting on a couch in the living room
21
+ a group of friend place doing hand gestures of agreement
22
+ friends having a group selfie
23
+ friends talking while on the basketball court
24
+ group of people protesting
25
+ a group of campers with a cute dog
26
+ a group of photographers taking pictures at the north western gardens in llandudno north wales
27
+ a group of students laughing and talking
28
+ a group of martial artist warming up
29
+ a person playing golf
30
+ a person walking on a wet wooden bridge
31
+ person doing a leg exercise
32
+ ice hockey athlete on rink
33
+ a young athlete training in swimming
34
+ chess player dusting a chessboard
35
+ baseball player holding his bat
36
+ a bearded man putting a vinyl record on a vinyl player
37
+ an orchestra finishes a performance
38
+ people applauding the performance of the kids
39
+ band performance at the recording studio
40
+ father and his children playing jenga game
41
+ people playing a board game
42
+ man playing a video game
43
+ a man video recording the movie in theater
44
+ man and a woman eating while watching a movie
45
+ movie crew talking together
46
+ a director explaining the movie scene
47
+ man and woman listening to music on car
48
+ man playing music
49
+ couple dancing slow dance with sun glare
50
+ a ballerina practicing in the dance studio
51
+ father and son holding hands
52
+ father and daughter talking together
53
+ a mother and her kids engaged in a video call
54
+ mother and daughter reading a book together
55
+ a mother teaching her daughter playing a violin
56
+ kid in a halloween costume
57
+ a happy kid playing the ukulele
58
+ a chef slicing a cucumber
59
+ chef wearing his gloves properly
60
+ brother and sister using hammock
61
+ girl applying sunblock to her brother
62
+ a girl pushing the chair while her sister is on the chair
63
+ colleagues talking in office building
64
+ fighter practice kicking
65
+ a woman fighter in her cosplay costume
66
+ an engineer holding blueprints while talking with her colleague
67
+ a young woman looking at vr controllers with her friend
68
+ workmates teasing a colleague in the work
69
+ a male police officer talking on the radio
70
+ teacher holding a marker while talking
71
+ teacher writing on her notebook
72
+ a young student attending her online classes
73
+ a student showing his classmates his wand
74
+ a male vendor selling fruits
75
+ a shirtless male climber
76
+ a sound engineer listening to music
77
+ female talking to a psychiatrist in a therapy session
78
+ young female activist posing with flag
79
+ a man in a hoodie and woman with a red bandana talking to each other and smiling
80
+ a medium close up of women wearing kimonos
81
+ a male interviewer listening to a person talking
82
+ a social worker having a conversation with the foster parents
83
+ a farm worker harvesting onions
84
+ worker packing street food
85
+ worker and client at barber shop
86
+ elderly man lifting kettlebell
87
+ mom assisting son in riding a bicycle
88
+ dad watching her daughter eat
89
+ young guy with vr headset
90
+ pregnant woman exercising with trainer
91
+ a fortune teller talking to a client
92
+ wizard doing a ritual on a woman
93
+ a footage of an actor on a movie scene
94
+ a man holding a best actor trophy
95
+ a singer of a music band
96
+ a young singer performing on stage
97
+ young dancer practicing at home
98
+ seller showing room to a couple
99
+ cab driver talking to passenger
100
+ a policeman talking to the car driver
VBench/prompts/prompts_per_category/lifestyle.txt ADDED
@@ -0,0 +1,100 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ kids celebrating halloween at home
2
+ little boy helping mother in kitchen
3
+ video of a indoor green plant
4
+ a girl arranges a christmas garland hanging by the kitchen cabinet
5
+ candle burning in dark room
6
+ couple having fun and goofing around the bedroom
7
+ girls jumping up and down in the bedroom
8
+ woman and man in pajamas working from home
9
+ a muslim family sitting and talking in the living room
10
+ family enjoying snack time while sitting in the living room
11
+ woman holding an animal puppet and a little girl playing together at the living room
12
+ kids playing in the indoor tent
13
+ young people celebrating new year at the office
14
+ a woman writing on the sticky note in the office
15
+ a woman exercising at home over a yoga mat
16
+ girls preparing easter decorations at home
17
+ dog on floor in room
18
+ turning on a fluorescent light inside a room
19
+ colleagues talking to each other near the office windows
20
+ a woman recording herself while exercising at home
21
+ music room
22
+ different kind of tools kept in a utility room
23
+ sofa beds and other furniture
24
+ a girl finding her brother reading a book in the bedroom
25
+ an elegant ceramic plant pot and hanging plant on indoor
26
+ furniture inside a bedroom
27
+ interior design of the bar section
28
+ living room with party decoration
29
+ firewood burning in dark room
30
+ a young woman playing the ukulele at home
31
+ woman painting at home
32
+ a woman in a locker room
33
+ video of a bathroom interior
34
+ the interior design of a jewish synagogue
35
+ a woman in protective suit disinfecting the kitchen
36
+ modern minimalist home interior
37
+ modern interior design of a coffee shop
38
+ person arranging minimalist furniture
39
+ aerial shot of interior of the warehouse
40
+ a room of a manufacturing facility
41
+ interior of catholic
42
+ interior design of a restaurant
43
+ a female model in a changing room looking herself in mirror
44
+ men walking in the office hallway
45
+ people sitting in a conference room
46
+ the interior design of a shopping mall
47
+ chandeliers in room
48
+ lucerne railway station interior
49
+ a female fencer posing in a foggy room
50
+ a toolbox and a paint roller beside a huge package in a room
51
+ bedroom in hotel
52
+ a woman lying in the operating room
53
+ a chef holding and checking kitchen utensils
54
+ a couple singing in the shower room together
55
+ a woman cleaning mess in the living room
56
+ an empty meeting room with natural light
57
+ person dancing in a dark room
58
+ close up on blood in hospital room
59
+ a couple resting on their home floor
60
+ a young female staff at courier office
61
+ a man entering the gym locker room
62
+ a bored man sitting by the tv at home
63
+ woman dancing in indoor garden
64
+ rubble in the interior of an abandoned house
65
+ indoor farm in a greenhouse
66
+ man doing handstand in indoor garden
67
+ an abandoned indoor swimming pool
68
+ home decorations on top of a cabinet
69
+ graffiti art on the interior walls of an abandoned mansion
70
+ indoor wall climbing activity
71
+ sunlight inside a room
72
+ teenage girl roller skating at indoor rink
73
+ home deco with lighted
74
+ baby in the shower room
75
+ men enjoying office christmas party
76
+ a bedroom with a brick wall
77
+ actors prepping in the dressing room
78
+ kids playing at an indoor playground
79
+ a person sanitizing an office space using smoke machine
80
+ mother and daughter choosing clothes at home
81
+ a woman sitting by the indoor fire pit
82
+ man standing on the corner of the room while looking around
83
+ person assembling furniture
84
+ a family stacking cardboard boxes in a room
85
+ family having fun in the dining room
86
+ person disinfecting a room
87
+ a woman washing strawberries in the kitchen sink
88
+ modern office waiting room
89
+ close up view of a person slicing with a kitchen knife
90
+ boiling coffee on a stove in the kitchen
91
+ modern equipment used in a home studio
92
+ interior of a recording studio
93
+ people working in a call center office
94
+ band performing at a home concert
95
+ a group of people watching a concert in a room
96
+ people packing their furniture
97
+ young employees in office holding a certificate
98
+ a criminal inside a dark room handcuffed in a table
99
+ couple browsing and looking for furniture in the store
100
+ workspace at home
VBench/prompts/prompts_per_category/plant.txt ADDED
@@ -0,0 +1,100 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ video of a indoor green plant
2
+ close up view of a plant
3
+ close up shot of a burning plant
4
+ plucking leaves from plant
5
+ a plant on gold pot with glass lid
6
+ a branch of a tree and a plant
7
+ a leafless tree
8
+ close up shot of fern leaf
9
+ close up video of strawberry plant
10
+ plant with blooming flowers
11
+ close up video of flower petals
12
+ watering yellow plant
13
+ beautiful flower decoration
14
+ cannabis flower in a jar
15
+ a footage of the tree leaves
16
+ a red leaf plant
17
+ close up view of a white christmas tree
18
+ snow pouring on a tree
19
+ close up shot of white flowers on the tree
20
+ leaves in the trees daytime
21
+ a dead tree lying on a grass field
22
+ tree branches in a flowing river
23
+ purple flowers with leaves
24
+ a coconut tree by the house
25
+ close up on flower in winter
26
+ bamboo leaves backlit by the sun
27
+ close up video of a wet flower
28
+ a man putting a flower in a box
29
+ dropping flower petals on a wooden bowl
30
+ a close up shot of gypsophila flower
31
+ variety of succulent plants on a garden
32
+ variety of trees and plants in a botanical garden
33
+ forest of deciduous trees
34
+ a stack of dried leaves burning in a forest
35
+ tall forest trees on a misty morning
36
+ close up view of dewdrops on a leaf
37
+ close up view of white petaled flower
38
+ removing a pineapple leaf
39
+ a dragonfly perched on a leaf
40
+ butterfly pollinating flower
41
+ person visiting and checking a corn plant
42
+ woman picking beans from a plant
43
+ woman plucking mint leaves
44
+ single tree in the middle of farmland
45
+ a plant on a soil
46
+ drone footage of a tree on farm field
47
+ a tractor harvesting lavender flower
48
+ people putting christmas ornaments on a christmas tree
49
+ jack o lantern hanging on a tree
50
+ tree with halloween decoration
51
+ flower field near the waterfall
52
+ truck carrying the tree logs
53
+ raindrops falling on leaves
54
+ shot of a palm tree swaying with the wind
55
+ squirrels on a tree branch
56
+ person holding a flower
57
+ a fallen tree trunk
58
+ tree with golden leaves
59
+ cherry tree
60
+ wind blows through leaves of the tree in autumn
61
+ a leaf on a glass
62
+ the long trunks of tall trees in the forest
63
+ trees in the forest during sunny day
64
+ close up video of tree bark
65
+ reflection of tree branches
66
+ trunks of many trees in the forest
67
+ tree leaves providing shades from the sun
68
+ leaves swaying in the wind
69
+ low angle shot of baobab tree
70
+ bare trees in forest
71
+ a plant surrounded by fallen leaves
72
+ a couple preparing food and pruning a plant
73
+ a man cutting a tree bark
74
+ oranges on a tree branch
75
+ plant connected on the stones
76
+ video of a sawmill machine cutting tree log
77
+ women drying flower petals
78
+ macro view of an agave plant
79
+ a video of a person tying a plant on a string
80
+ green moss in forest nature
81
+ coconut tree near sea under blue sky
82
+ the canopy of a coconut tree
83
+ a man leaning on a tree at the beach
84
+ a full grown plant on a pot
85
+ candle wax dripping on flower petals
86
+ close up of leaves in autumn
87
+ a woman opening a book with a flower inside
88
+ a man holding leaves looking at the camera
89
+ a shadow of a swaying plant
90
+ a tree and concrete structure under a blue and cloudy sky
91
+ trimming excess leaves on a potted plant
92
+ the changing color of the tree leaves during autumn season
93
+ a gooseberry tree swayed by the wind
94
+ forest trees and a medieval castle at sunset
95
+ woman cut down tree
96
+ an old oak tree in a park across the street from a hotel
97
+ wild flowers growing in a forest ground
98
+ a mossy fountain and green plants in a botanical garden
99
+ mansion with beautiful garden
100
+ ants on a dragon fruit flower
VBench/prompts/prompts_per_category/scenery.txt ADDED
@@ -0,0 +1,100 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ scenery of desert landscape
2
+ landscape agriculture farm tractor
3
+ burning slash piles in the forest
4
+ graveyard at sunset
5
+ view of a jack o lantern with pumpkins in a smoky garden
6
+ sun view through a spider web
7
+ view of the sea from an abandoned building
8
+ close up view of a full moon
9
+ close up view of lighted candles
10
+ close up view of swaying white flowers and leaves
11
+ scenery of a relaxing beach
12
+ selective focus video of grass during sunny day
13
+ aerial view of brown dry landscape
14
+ fireworks display in the sky at night
15
+ a bonfire near river
16
+ mountain view
17
+ waterfalls in between mountain
18
+ a picturesque view of nature
19
+ exotic view of a riverfront city
20
+ tall trees in the forest under the clear sky
21
+ snow on branches in forest
22
+ stream in the nature
23
+ an airplane flying above the sea of clouds
24
+ scenic video of sunset
25
+ view of houses with bush fence under a blue and cloudy sky
26
+ scenic view from wooden pathway
27
+ scenic view of a tropical beach
28
+ drone footage of waves crashing on beach shore
29
+ a scenic view of the golden hour at norway
30
+ time lapse video of foggy mountain forest
31
+ brown mountain during fall season
32
+ video of ocean during daytime
33
+ boat sailing in the ocean
34
+ top view of yachts
35
+ beautiful scenery of flowing waterfalls and river
36
+ wild ducks paddling on the lake surface
37
+ a relaxing scenery of beach view under cloudy sky
38
+ natural rock formations on beach under cloudy sky
39
+ a palm tree against blue sky
40
+ video of sailboat on a lake during sunset
41
+ aerial view of snow piles
42
+ time lapse of a sunset sky in the countryside
43
+ aerial footage of a statue
44
+ time lapse video of a farm during sunset
45
+ clouds formation in the sky at sunset
46
+ aerial shot of a village
47
+ drone shot of a beautiful sunrise at the mountains
48
+ time lapse video of foggy morning during sunrise
49
+ sun shining between tree leaves at sunrise
50
+ video of lake during dawn
51
+ vehicles traveling on roadway under cloudy sky
52
+ view of golden domed church
53
+ a monument under the blue sky
54
+ firecrackers in the sky
55
+ view of fruit signage in the farm
56
+ a dark clouds over shadowing the full moon
57
+ view of the amazon river
58
+ a big river swamp in a dense forest
59
+ a blooming cherry blossom tree under a blue sky with white clouds
60
+ a river waterfall cascading down the plunge basin
61
+ flooded landscape with palm trees
62
+ a blurry waterfall background
63
+ waterfall in the mountains
64
+ aerial footage of a city at night
65
+ pond by small waterfall in forest
66
+ aerial view of farmlands at the bay of lake
67
+ rice terraces in the countryside
68
+ a highway built across an agricultural area in the countryside
69
+ gloomy morning in the countryside
70
+ drone shot of an abandoned coliseum on a snowy mountain top
71
+ boat sailing in the middle of ocean
72
+ drone shot of the grass field
73
+ natural landscape of mountain and sea with islets developed into a community
74
+ aerial view of zaporizhia in ukraine
75
+ aerial footage of a herd
76
+ an aerial footage of a red sky
77
+ grass and plants growing in the remains of an abandoned house
78
+ view from hill on city
79
+ aerial view on orthodox church
80
+ aerial view of bay in croatia
81
+ a footage of a frozen river
82
+ overlooking view of a city at daylight
83
+ view outside the cemetery
84
+ clear sky with moon over meadow
85
+ clouds over railway
86
+ aerial footage of moving vehicles on the road at night
87
+ aerial view of town and park
88
+ top view of skyscrapers
89
+ top view of the empire state building in manhattan
90
+ top view of the central park in new york city
91
+ sheep running in a grass field
92
+ clear sky over factory
93
+ smoke and fire in birds eye view
94
+ view of a pathway with snow melting on its side
95
+ ferry under bridge on river near city in malaysia
96
+ mountain slopes covered in green vegetation
97
+ panoramic view of a town surrounded by snow covered mountains
98
+ aerial view of a palace
99
+ top view of vehicles driving on the intersection
100
+ a graveyard by a church in a mountain landscape
VBench/prompts/prompts_per_category/vehicles.txt ADDED
@@ -0,0 +1,100 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ a modern railway station in malaysia use for public transportation
2
+ drone footage of amsterdam metro station
3
+ train arriving at a station
4
+ red vehicle driving on field
5
+ close up view of flashing emergency vehicle lighting
6
+ vehicle with fertilizer on field
7
+ a highway built across an agricultural area in the countryside
8
+ drone footage of motorcycles driving on country road between agricultural fields
9
+ a road in the woods under fog
10
+ footage of a car driving through a wheat field
11
+ vehicle stops for an ambulance passing through city traffic
12
+ emergency vehicle parked outside the casino
13
+ zombies attacking a woman and a boy inside a car
14
+ woman seating inside the car while chewing
15
+ video of passengers riding a double decker bus during night
16
+ traffic in london street at night
17
+ elderly couple checking engine of automobile
18
+ a green vintage automobile with an open hood parked in a parking area
19
+ close up of a prototype automobile with exposed engine on the back seat of the car
20
+ aerial view of road in forest
21
+ train departing from station
22
+ aerial view of a train passing by a bridge
23
+ video of a train tracks
24
+ video footage of a subway
25
+ video of blinking traffic lights
26
+ couple walking out on the subway
27
+ time lapse of a subway tunnel
28
+ monitor board inside the subway
29
+ metro train at night
30
+ zoom in video of a tram passing by city
31
+ young man using laptop in the tram
32
+ man reading a book at bus stop
33
+ close up shot of a moving taxi
34
+ night travel in london street on a public bus
35
+ red bus in a rainy city
36
+ flow of traffic in the city
37
+ close up shot of a yellow taxi turning left
38
+ two women calling for a taxi
39
+ drone view of an illuminated bridge across a river
40
+ policeman in police car talking on radio
41
+ airplane taking off at night
42
+ view through window in airplane
43
+ an airplane in the sky
44
+ helicopter landing on the street
45
+ a pilot getting out of a helicopter
46
+ a helicopter flying under blue sky
47
+ boat sailing in the middle of the ocean
48
+ girl playing with a toy boat
49
+ silhouette of a boat on sea during golden hour
50
+ a boat travelling around the lake
51
+ road on mountain ridge
52
+ ship sailing on danube river
53
+ slow motion video of a ship water trail in the sea
54
+ drone footage of a wreck ship on shore
55
+ a white yacht traveling on a river and passing under the bridge
56
+ female teenagers drinking champagne in the yacht
57
+ video of yacht sailing in the ocean
58
+ red combine harvester on road on field
59
+ a woman sitting on a bicycle while using a mobile phone
60
+ a woman sitting on a motorcycle looking around
61
+ three teenagers fixing a bicycle
62
+ a woman in a halloween costume posing on a motorcycle
63
+ a parked motorcycle on a foggy roadside
64
+ cable car near sea shore
65
+ a truck travelling in the road
66
+ footage of the road without any traffic
67
+ a road sign
68
+ love padlocks on a bridge
69
+ camera moving at highway construction site
70
+ vehicles driving on highway
71
+ a motorbike on highway at timelapse mode
72
+ point of view of a car driving through a tunnel
73
+ time lapse of heavy traffic on an avenue
74
+ ferry boat on city canal
75
+ black vintage car in museum
76
+ a zigzag road across a forest
77
+ people crossing the road
78
+ video of a kayak boat in a river
79
+ a person paddling a wooden boat in a lake
80
+ a car charging in the parking area
81
+ cars parked on the road
82
+ footage of the street with people and vehicle passing by in the rain
83
+ traffic on busy city street
84
+ a woman getting out of the car to walk with their dog
85
+ yacht sailing through the ocean
86
+ people in queue to military ship
87
+ man wearing motorcycle helmet looking at the camera
88
+ empty seats in the bus
89
+ empty boat on the water
90
+ cargo train traveling on the mountainside
91
+ cruise ship in harbor
92
+ counting down at traffic lights
93
+ pressing the car ignition
94
+ fire truck driving on the road
95
+ a footage of a broken bicycle
96
+ drone footage of an ambulance on the road
97
+ slow motion footage of a racing car
98
+ ship sailing on sea against sunset
99
+ big cargo ship passing on the shore
100
+ back view of man and woman walking on unpaved road
VBench/prompts/prompts_per_dimension/appearance_style.txt ADDED
@@ -0,0 +1,90 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ A beautiful coastal beach in spring, waves lapping on sand, Van Gogh style
2
+ A beautiful coastal beach in spring, waves lapping on sand, oil painting
3
+ A beautiful coastal beach in spring, waves lapping on sand by Hokusai, in the style of Ukiyo
4
+ A beautiful coastal beach in spring, waves lapping on sand, black and white
5
+ A beautiful coastal beach in spring, waves lapping on sand, pixel art
6
+ A beautiful coastal beach in spring, waves lapping on sand, in cyberpunk style
7
+ A beautiful coastal beach in spring, waves lapping on sand, animated style
8
+ A beautiful coastal beach in spring, waves lapping on sand, watercolor painting
9
+ A beautiful coastal beach in spring, waves lapping on sand, surrealism style
10
+ The bund Shanghai, Van Gogh style
11
+ The bund Shanghai, oil painting
12
+ The bund Shanghai by Hokusai, in the style of Ukiyo
13
+ The bund Shanghai, black and white
14
+ The bund Shanghai, pixel art
15
+ The bund Shanghai, in cyberpunk style
16
+ The bund Shanghai, animated style
17
+ The bund Shanghai, watercolor painting
18
+ The bund Shanghai, surrealism style
19
+ a shark is swimming in the ocean, Van Gogh style
20
+ a shark is swimming in the ocean, oil painting
21
+ a shark is swimming in the ocean by Hokusai, in the style of Ukiyo
22
+ a shark is swimming in the ocean, black and white
23
+ a shark is swimming in the ocean, pixel art
24
+ a shark is swimming in the ocean, in cyberpunk style
25
+ a shark is swimming in the ocean, animated style
26
+ a shark is swimming in the ocean, watercolor painting
27
+ a shark is swimming in the ocean, surrealism style
28
+ A panda drinking coffee in a cafe in Paris, Van Gogh style
29
+ A panda drinking coffee in a cafe in Paris, oil painting
30
+ A panda drinking coffee in a cafe in Paris by Hokusai, in the style of Ukiyo
31
+ A panda drinking coffee in a cafe in Paris, black and white
32
+ A panda drinking coffee in a cafe in Paris, pixel art
33
+ A panda drinking coffee in a cafe in Paris, in cyberpunk style
34
+ A panda drinking coffee in a cafe in Paris, animated style
35
+ A panda drinking coffee in a cafe in Paris, watercolor painting
36
+ A panda drinking coffee in a cafe in Paris, surrealism style
37
+ A cute happy Corgi playing in park, sunset, Van Gogh style
38
+ A cute happy Corgi playing in park, sunset, oil painting
39
+ A cute happy Corgi playing in park, sunset by Hokusai, in the style of Ukiyo
40
+ A cute happy Corgi playing in park, sunset, black and white
41
+ A cute happy Corgi playing in park, sunset, pixel art
42
+ A cute happy Corgi playing in park, sunset, in cyberpunk style
43
+ A cute happy Corgi playing in park, sunset, animated style
44
+ A cute happy Corgi playing in park, sunset, watercolor painting
45
+ A cute happy Corgi playing in park, sunset, surrealism style
46
+ Gwen Stacy reading a book, Van Gogh style
47
+ Gwen Stacy reading a book, oil painting
48
+ Gwen Stacy reading a book by Hokusai, in the style of Ukiyo
49
+ Gwen Stacy reading a book, black and white
50
+ Gwen Stacy reading a book, pixel art
51
+ Gwen Stacy reading a book, in cyberpunk style
52
+ Gwen Stacy reading a book, animated style
53
+ Gwen Stacy reading a book, watercolor painting
54
+ Gwen Stacy reading a book, surrealism style
55
+ A boat sailing leisurely along the Seine River with the Eiffel Tower in background, Van Gogh style
56
+ A boat sailing leisurely along the Seine River with the Eiffel Tower in background, oil painting
57
+ A boat sailing leisurely along the Seine River with the Eiffel Tower in background by Hokusai, in the style of Ukiyo
58
+ A boat sailing leisurely along the Seine River with the Eiffel Tower in background, black and white
59
+ A boat sailing leisurely along the Seine River with the Eiffel Tower in background, pixel art
60
+ A boat sailing leisurely along the Seine River with the Eiffel Tower in background, in cyberpunk style
61
+ A boat sailing leisurely along the Seine River with the Eiffel Tower in background, animated style
62
+ A boat sailing leisurely along the Seine River with the Eiffel Tower in background, watercolor painting
63
+ A boat sailing leisurely along the Seine River with the Eiffel Tower in background, surrealism style
64
+ A couple in formal evening wear going home get caught in a heavy downpour with umbrellas, Van Gogh style
65
+ A couple in formal evening wear going home get caught in a heavy downpour with umbrellas, oil painting
66
+ A couple in formal evening wear going home get caught in a heavy downpour with umbrellas by Hokusai, in the style of Ukiyo
67
+ A couple in formal evening wear going home get caught in a heavy downpour with umbrellas, black and white
68
+ A couple in formal evening wear going home get caught in a heavy downpour with umbrellas, pixel art
69
+ A couple in formal evening wear going home get caught in a heavy downpour with umbrellas, in cyberpunk style
70
+ A couple in formal evening wear going home get caught in a heavy downpour with umbrellas, animated style
71
+ A couple in formal evening wear going home get caught in a heavy downpour with umbrellas, watercolor painting
72
+ A couple in formal evening wear going home get caught in a heavy downpour with umbrellas, surrealism style
73
+ An astronaut flying in space, Van Gogh style
74
+ An astronaut flying in space, oil painting
75
+ An astronaut flying in space by Hokusai, in the style of Ukiyo
76
+ An astronaut flying in space, black and white
77
+ An astronaut flying in space, pixel art
78
+ An astronaut flying in space, in cyberpunk style
79
+ An astronaut flying in space, animated style
80
+ An astronaut flying in space, watercolor painting
81
+ An astronaut flying in space, surrealism style
82
+ Snow rocky mountains peaks canyon. snow blanketed rocky mountains surround and shadow deep canyons. the canyons twist and bend through the high elevated mountain peaks, Van Gogh style
83
+ Snow rocky mountains peaks canyon. snow blanketed rocky mountains surround and shadow deep canyons. the canyons twist and bend through the high elevated mountain peaks, oil painting
84
+ Snow rocky mountains peaks canyon. snow blanketed rocky mountains surround and shadow deep canyons. the canyons twist and bend through the high elevated mountain peaks by Hokusai, in the style of Ukiyo
85
+ Snow rocky mountains peaks canyon. snow blanketed rocky mountains surround and shadow deep canyons. the canyons twist and bend through the high elevated mountain peaks, black and white
86
+ Snow rocky mountains peaks canyon. snow blanketed rocky mountains surround and shadow deep canyons. the canyons twist and bend through the high elevated mountain peaks, pixel art
87
+ Snow rocky mountains peaks canyon. snow blanketed rocky mountains surround and shadow deep canyons. the canyons twist and bend through the high elevated mountain peaks, in cyberpunk style
88
+ Snow rocky mountains peaks canyon. snow blanketed rocky mountains surround and shadow deep canyons. the canyons twist and bend through the high elevated mountain peaks, animated style
89
+ Snow rocky mountains peaks canyon. snow blanketed rocky mountains surround and shadow deep canyons. the canyons twist and bend through the high elevated mountain peaks, watercolor painting
90
+ Snow rocky mountains peaks canyon. snow blanketed rocky mountains surround and shadow deep canyons. the canyons twist and bend through the high elevated mountain peaks, surrealism style
VBench/prompts/prompts_per_dimension/color.txt ADDED
@@ -0,0 +1,85 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ a red bicycle
2
+ a green bicycle
3
+ a blue bicycle
4
+ a yellow bicycle
5
+ an orange bicycle
6
+ a purple bicycle
7
+ a pink bicycle
8
+ a black bicycle
9
+ a white bicycle
10
+ a red car
11
+ a green car
12
+ a blue car
13
+ a yellow car
14
+ an orange car
15
+ a purple car
16
+ a pink car
17
+ a black car
18
+ a white car
19
+ a red bird
20
+ a green bird
21
+ a blue bird
22
+ a yellow bird
23
+ an orange bird
24
+ a purple bird
25
+ a pink bird
26
+ a black bird
27
+ a white bird
28
+ a black cat
29
+ a white cat
30
+ an orange cat
31
+ a yellow cat
32
+ a red umbrella
33
+ a green umbrella
34
+ a blue umbrella
35
+ a yellow umbrella
36
+ an orange umbrella
37
+ a purple umbrella
38
+ a pink umbrella
39
+ a black umbrella
40
+ a white umbrella
41
+ a red suitcase
42
+ a green suitcase
43
+ a blue suitcase
44
+ a yellow suitcase
45
+ an orange suitcase
46
+ a purple suitcase
47
+ a pink suitcase
48
+ a black suitcase
49
+ a white suitcase
50
+ a red bowl
51
+ a green bowl
52
+ a blue bowl
53
+ a yellow bowl
54
+ an orange bowl
55
+ a purple bowl
56
+ a pink bowl
57
+ a black bowl
58
+ a white bowl
59
+ a red chair
60
+ a green chair
61
+ a blue chair
62
+ a yellow chair
63
+ an orange chair
64
+ a purple chair
65
+ a pink chair
66
+ a black chair
67
+ a white chair
68
+ a red clock
69
+ a green clock
70
+ a blue clock
71
+ a yellow clock
72
+ an orange clock
73
+ a purple clock
74
+ a pink clock
75
+ a black clock
76
+ a white clock
77
+ a red vase
78
+ a green vase
79
+ a blue vase
80
+ a yellow vase
81
+ an orange vase
82
+ a purple vase
83
+ a pink vase
84
+ a black vase
85
+ a white vase
VBench/prompts/prompts_per_dimension/human_action.txt ADDED
@@ -0,0 +1,100 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ A person is riding a bike
2
+ A person is marching
3
+ A person is roller skating
4
+ A person is tasting beer
5
+ A person is clapping
6
+ A person is drawing
7
+ A person is petting animal (not cat)
8
+ A person is eating watermelon
9
+ A person is playing harp
10
+ A person is wrestling
11
+ A person is riding scooter
12
+ A person is sweeping floor
13
+ A person is skateboarding
14
+ A person is dunking basketball
15
+ A person is playing flute
16
+ A person is stretching leg
17
+ A person is tying tie
18
+ A person is skydiving
19
+ A person is shooting goal (soccer)
20
+ A person is playing piano
21
+ A person is finger snapping
22
+ A person is canoeing or kayaking
23
+ A person is laughing
24
+ A person is digging
25
+ A person is clay pottery making
26
+ A person is shooting basketball
27
+ A person is bending back
28
+ A person is shaking hands
29
+ A person is bandaging
30
+ A person is push up
31
+ A person is catching or throwing frisbee
32
+ A person is playing trumpet
33
+ A person is flying kite
34
+ A person is filling eyebrows
35
+ A person is shuffling cards
36
+ A person is folding clothes
37
+ A person is smoking
38
+ A person is tai chi
39
+ A person is squat
40
+ A person is playing controller
41
+ A person is throwing axe
42
+ A person is giving or receiving award
43
+ A person is air drumming
44
+ A person is taking a shower
45
+ A person is planting trees
46
+ A person is sharpening knives
47
+ A person is robot dancing
48
+ A person is rock climbing
49
+ A person is hula hooping
50
+ A person is writing
51
+ A person is bungee jumping
52
+ A person is pushing cart
53
+ A person is cleaning windows
54
+ A person is cutting watermelon
55
+ A person is cheerleading
56
+ A person is washing hands
57
+ A person is ironing
58
+ A person is cutting nails
59
+ A person is hugging
60
+ A person is trimming or shaving beard
61
+ A person is jogging
62
+ A person is making bed
63
+ A person is washing dishes
64
+ A person is grooming dog
65
+ A person is doing laundry
66
+ A person is knitting
67
+ A person is reading book
68
+ A person is baby waking up
69
+ A person is massaging legs
70
+ A person is brushing teeth
71
+ A person is crawling baby
72
+ A person is motorcycling
73
+ A person is driving car
74
+ A person is sticking tongue out
75
+ A person is shaking head
76
+ A person is sword fighting
77
+ A person is doing aerobics
78
+ A person is strumming guitar
79
+ A person is riding or walking with horse
80
+ A person is archery
81
+ A person is catching or throwing baseball
82
+ A person is playing chess
83
+ A person is rock scissors paper
84
+ A person is using computer
85
+ A person is arranging flowers
86
+ A person is bending metal
87
+ A person is ice skating
88
+ A person is climbing a rope
89
+ A person is crying
90
+ A person is dancing ballet
91
+ A person is getting a haircut
92
+ A person is running on treadmill
93
+ A person is kissing
94
+ A person is counting money
95
+ A person is barbequing
96
+ A person is peeling apples
97
+ A person is milking cow
98
+ A person is shining shoes
99
+ A person is making snowman
100
+ A person is sailing
VBench/prompts/prompts_per_dimension/multiple_objects.txt ADDED
@@ -0,0 +1,82 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ a bird and a cat
2
+ a cat and a dog
3
+ a dog and a horse
4
+ a horse and a sheep
5
+ a sheep and a cow
6
+ a cow and an elephant
7
+ an elephant and a bear
8
+ a bear and a zebra
9
+ a zebra and a giraffe
10
+ a giraffe and a bird
11
+ a chair and a couch
12
+ a couch and a potted plant
13
+ a potted plant and a tv
14
+ a tv and a laptop
15
+ a laptop and a remote
16
+ a remote and a keyboard
17
+ a keyboard and a cell phone
18
+ a cell phone and a book
19
+ a book and a clock
20
+ a clock and a backpack
21
+ a backpack and an umbrella
22
+ an umbrella and a handbag
23
+ a handbag and a tie
24
+ a tie and a suitcase
25
+ a suitcase and a vase
26
+ a vase and scissors
27
+ scissors and a teddy bear
28
+ a teddy bear and a frisbee
29
+ a frisbee and skis
30
+ skis and a snowboard
31
+ a snowboard and a sports ball
32
+ a sports ball and a kite
33
+ a kite and a baseball bat
34
+ a baseball bat and a baseball glove
35
+ a baseball glove and a skateboard
36
+ a skateboard and a surfboard
37
+ a surfboard and a tennis racket
38
+ a tennis racket and a bottle
39
+ a bottle and a chair
40
+ an airplane and a train
41
+ a train and a boat
42
+ a boat and an airplane
43
+ a bicycle and a car
44
+ a car and a motorcycle
45
+ a motorcycle and a bus
46
+ a bus and a traffic light
47
+ a traffic light and a fire hydrant
48
+ a fire hydrant and a stop sign
49
+ a stop sign and a parking meter
50
+ a parking meter and a truck
51
+ a truck and a bicycle
52
+ a toilet and a hair drier
53
+ a hair drier and a toothbrush
54
+ a toothbrush and a sink
55
+ a sink and a toilet
56
+ a wine glass and a chair
57
+ a cup and a couch
58
+ a fork and a potted plant
59
+ a knife and a tv
60
+ a spoon and a laptop
61
+ a bowl and a remote
62
+ a banana and a keyboard
63
+ an apple and a cell phone
64
+ a sandwich and a book
65
+ an orange and a clock
66
+ broccoli and a backpack
67
+ a carrot and an umbrella
68
+ a hot dog and a handbag
69
+ a pizza and a tie
70
+ a donut and a suitcase
71
+ a cake and a vase
72
+ an oven and scissors
73
+ a toaster and a teddy bear
74
+ a microwave and a frisbee
75
+ a refrigerator and skis
76
+ a bicycle and an airplane
77
+ a car and a train
78
+ a motorcycle and a boat
79
+ a person and a toilet
80
+ a person and a hair drier
81
+ a person and a toothbrush
82
+ a person and a sink
VBench/prompts/prompts_per_dimension/object_class.txt ADDED
@@ -0,0 +1,79 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ a person
2
+ a bicycle
3
+ a car
4
+ a motorcycle
5
+ an airplane
6
+ a bus
7
+ a train
8
+ a truck
9
+ a boat
10
+ a traffic light
11
+ a fire hydrant
12
+ a stop sign
13
+ a parking meter
14
+ a bench
15
+ a bird
16
+ a cat
17
+ a dog
18
+ a horse
19
+ a sheep
20
+ a cow
21
+ an elephant
22
+ a bear
23
+ a zebra
24
+ a giraffe
25
+ a backpack
26
+ an umbrella
27
+ a handbag
28
+ a tie
29
+ a suitcase
30
+ a frisbee
31
+ skis
32
+ a snowboard
33
+ a sports ball
34
+ a kite
35
+ a baseball bat
36
+ a baseball glove
37
+ a skateboard
38
+ a surfboard
39
+ a tennis racket
40
+ a bottle
41
+ a wine glass
42
+ a cup
43
+ a fork
44
+ a knife
45
+ a spoon
46
+ a bowl
47
+ a banana
48
+ an apple
49
+ a sandwich
50
+ an orange
51
+ broccoli
52
+ a carrot
53
+ a hot dog
54
+ a pizza
55
+ a donut
56
+ a cake
57
+ a chair
58
+ a couch
59
+ a potted plant
60
+ a bed
61
+ a dining table
62
+ a toilet
63
+ a tv
64
+ a laptop
65
+ a remote
66
+ a keyboard
67
+ a cell phone
68
+ a microwave
69
+ an oven
70
+ a toaster
71
+ a sink
72
+ a refrigerator
73
+ a book
74
+ a clock
75
+ a vase
76
+ scissors
77
+ a teddy bear
78
+ a hair drier
79
+ a toothbrush
VBench/prompts/prompts_per_dimension/overall_consistency.txt ADDED
@@ -0,0 +1,93 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ Close up of grapes on a rotating table.
2
+ Turtle swimming in ocean.
3
+ A storm trooper vacuuming the beach.
4
+ A panda standing on a surfboard in the ocean in sunset.
5
+ An astronaut feeding ducks on a sunny afternoon, reflection from the water.
6
+ Two pandas discussing an academic paper.
7
+ Sunset time lapse at the beach with moving clouds and colors in the sky.
8
+ A fat rabbit wearing a purple robe walking through a fantasy landscape.
9
+ A koala bear playing piano in the forest.
10
+ An astronaut flying in space.
11
+ Fireworks.
12
+ An animated painting of fluffy white clouds moving in sky.
13
+ Flying through fantasy landscapes.
14
+ A bigfoot walking in the snowstorm.
15
+ A squirrel eating a burger.
16
+ A cat wearing sunglasses and working as a lifeguard at a pool.
17
+ Snow rocky mountains peaks canyon. snow blanketed rocky mountains surround and shadow deep canyons. the canyons twist and bend through the high elevated mountain peaks.
18
+ Splash of turquoise water in extreme slow motion, alpha channel included.
19
+ an ice cream is melting on the table.
20
+ a drone flying over a snowy forest.
21
+ a shark is swimming in the ocean.
22
+ Aerial panoramic video from a drone of a fantasy land.
23
+ a teddy bear is swimming in the ocean.
24
+ time lapse of sunrise on mars.
25
+ golden fish swimming in the ocean.
26
+ An artist brush painting on a canvas close up.
27
+ A drone view of celebration with Christmas tree and fireworks, starry sky - background.
28
+ happy dog wearing a yellow turtleneck, studio, portrait, facing camera, dark background
29
+ Origami dancers in white paper, 3D render, on white background, studio shot, dancing modern dance.
30
+ Campfire at night in a snowy forest with starry sky in the background.
31
+ a fantasy landscape
32
+ A 3D model of a 1800s victorian house.
33
+ this is how I do makeup in the morning.
34
+ A raccoon that looks like a turtle, digital art.
35
+ Robot dancing in Times Square.
36
+ Busy freeway at night.
37
+ Balloon full of water exploding in extreme slow motion.
38
+ An astronaut is riding a horse in the space in a photorealistic style.
39
+ Macro slo-mo. Slow motion cropped closeup of roasted coffee beans falling into an empty bowl.
40
+ Sewing machine, old sewing machine working.
41
+ Motion colour drop in water, ink swirling in water, colourful ink in water, abstraction fancy dream cloud of ink.
42
+ Few big purple plums rotating on the turntable. water drops appear on the skin during rotation. isolated on the white background. close-up. macro.
43
+ Vampire makeup face of beautiful girl, red contact lenses.
44
+ Ashtray full of butts on table, smoke flowing on black background, close-up
45
+ Pacific coast, carmel by the sea ocean and waves.
46
+ A teddy bear is playing drum kit in NYC Times Square.
47
+ A corgi is playing drum kit.
48
+ An Iron man is playing the electronic guitar, high electronic guitar.
49
+ A raccoon is playing the electronic guitar.
50
+ A boat sailing leisurely along the Seine River with the Eiffel Tower in background by Vincent van Gogh
51
+ A corgi's head depicted as an explosion of a nebula
52
+ A fantasy landscape
53
+ A future where humans have achieved teleportation technology
54
+ A jellyfish floating through the ocean, with bioluminescent tentacles
55
+ A Mars rover moving on Mars
56
+ A panda drinking coffee in a cafe in Paris
57
+ A space shuttle launching into orbit, with flames and smoke billowing out from the engines
58
+ A steam train moving on a mountainside
59
+ A super cool giant robot in Cyberpunk Beijing
60
+ A tropical beach at sunrise, with palm trees and crystal-clear water in the foreground
61
+ Cinematic shot of Van Gogh's selfie, Van Gogh style
62
+ Gwen Stacy reading a book
63
+ Iron Man flying in the sky
64
+ The bund Shanghai, oil painting
65
+ Yoda playing guitar on the stage
66
+ A beautiful coastal beach in spring, waves lapping on sand by Hokusai, in the style of Ukiyo
67
+ A beautiful coastal beach in spring, waves lapping on sand by Vincent van Gogh
68
+ A boat sailing leisurely along the Seine River with the Eiffel Tower in background
69
+ A car moving slowly on an empty street, rainy evening
70
+ A cat eating food out of a bowl
71
+ A cat wearing sunglasses at a pool
72
+ A confused panda in calculus class
73
+ A cute fluffy panda eating Chinese food in a restaurant
74
+ A cute happy Corgi playing in park, sunset
75
+ A cute raccoon playing guitar in a boat on the ocean
76
+ A happy fuzzy panda playing guitar nearby a campfire, snow mountain in the background
77
+ A lightning striking atop of eiffel tower, dark clouds in the sky
78
+ A modern art museum, with colorful paintings
79
+ A panda cooking in the kitchen
80
+ A panda playing on a swing set
81
+ A polar bear is playing guitar
82
+ A raccoon dressed in suit playing the trumpet, stage background
83
+ A robot DJ is playing the turntable, in heavy raining futuristic tokyo rooftop cyberpunk night, sci-fi, fantasy
84
+ A shark swimming in clear Caribbean ocean
85
+ A super robot protecting city
86
+ A teddy bear washing the dishes
87
+ An epic tornado attacking above a glowing city at night, the tornado is made of smoke
88
+ An oil painting of a couple in formal evening wear going home get caught in a heavy downpour with umbrellas
89
+ Clown fish swimming through the coral reef
90
+ Hyper-realistic spaceship landing on Mars
91
+ The bund Shanghai, vibrant color
92
+ Vincent van Gogh is painting in the room
93
+ Yellow flowers swing in the wind
VBench/prompts/prompts_per_dimension/scene.txt ADDED
@@ -0,0 +1,86 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ alley
2
+ amusement park
3
+ aquarium
4
+ arch
5
+ art gallery
6
+ bathroom
7
+ bakery shop
8
+ ballroom
9
+ bar
10
+ barn
11
+ basement
12
+ beach
13
+ bedroom
14
+ bridge
15
+ botanical garden
16
+ cafeteria
17
+ campsite
18
+ campus
19
+ carrousel
20
+ castle
21
+ cemetery
22
+ classroom
23
+ cliff
24
+ crosswalk
25
+ construction site
26
+ corridor
27
+ courtyard
28
+ desert
29
+ downtown
30
+ driveway
31
+ farm
32
+ food court
33
+ football field
34
+ forest road
35
+ fountain
36
+ gas station
37
+ glacier
38
+ golf course
39
+ indoor gymnasium
40
+ harbor
41
+ highway
42
+ hospital
43
+ house
44
+ iceberg
45
+ industrial area
46
+ jail cell
47
+ junkyard
48
+ kitchen
49
+ indoor library
50
+ lighthouse
51
+ laboratory
52
+ mansion
53
+ marsh
54
+ mountain
55
+ indoor movie theater
56
+ indoor museum
57
+ music studio
58
+ nursery
59
+ ocean
60
+ office
61
+ palace
62
+ parking lot
63
+ pharmacy
64
+ phone booth
65
+ raceway
66
+ restaurant
67
+ river
68
+ science museum
69
+ shower
70
+ ski slope
71
+ sky
72
+ skyscraper
73
+ baseball stadium
74
+ staircase
75
+ street
76
+ supermarket
77
+ indoor swimming pool
78
+ tower
79
+ outdoor track
80
+ train railway
81
+ train station platform
82
+ underwater coral reef
83
+ valley
84
+ volcano
85
+ waterfall
86
+ windmill