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Update constants.py
Browse files- constants.py +1 -8
constants.py
CHANGED
@@ -85,17 +85,10 @@ COLUMN_NAMES = MODEL_INFO + TASK_INFO
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LEADERBORAD_INTRODUCTION = """# VBench Leaderboard
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*"Which Video Generation Model is better?"*
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π Welcome to the leaderboard of the **VBench**! π¦ *A Comprehensive Benchmark Suite for Video Generative Models*
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- **Comprehensive Dimensions:** We carefully decompose video generation quality into 16 comprehensive dimensions to reveal individual model's strengths and weaknesses.
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- **Human Alignment:** We conducted extensive experiments and human annotations to validate robustness of VBench.
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- **Valuable Insights:** VBench provides multi-perspective insights useful for the community.
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<!-- [![arXiv](https://img.shields.io/badge/arXiv-2311.99999-b31b1b.svg)](https://arxiv.org/abs/2311.99999) -->
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[![Paper](https://img.shields.io/badge/cs.CV-Paper-b31b1b?logo=arxiv&logoColor=red)](https://arxiv.org/abs/2311.17982)
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[![Project Page](https://img.shields.io/badge/VBench-Website-green?logo=googlechrome&logoColor=green)](https://vchitect.github.io/VBench-project/)
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[![PyPI](https://img.shields.io/pypi/v/vbench)](https://pypi.org/project/vbench/)
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[![Code](https://img.shields.io/badge/GitHub%20Code%3F-brightgreen.svg?style=flat))](https://github.com/Vchitect/VBench)
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[![Video](https://img.shields.io/badge/YouTube-Video-c4302b?logo=youtube&logoColor=red)](https://www.youtube.com/watch?v=7IhCC8Qqn8Y)
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[![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)
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Please follow the instructions in [VBench](https://github.com/Vchitect/VBench?tab=readme-ov-file#usage) to upload the generated `result.json` file here. After clicking the `Submit Eval` button, click the `Refresh` button.
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LEADERBORAD_INTRODUCTION = """# VBench Leaderboard
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*"Which Video Generation Model is better?"*
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π Welcome to the leaderboard of the **VBench**! π¦ *A Comprehensive Benchmark Suite for Video Generative Models* [![Paper](https://img.shields.io/badge/cs.CV-Paper-b31b1b?logo=arxiv&logoColor=red)](https://arxiv.org/abs/2311.17982) [![Project Page](https://img.shields.io/badge/VBench-Website-green?logo=googlechrome&logoColor=green)](https://vchitect.github.io/VBench-project/) [![PyPI](https://img.shields.io/pypi/v/vbench)](https://pypi.org/project/vbench/) [![Code](https://img.shields.io/badge/GitHub%20Code%3F-brightgreen.svg?style=flat)](https://github.com/Vchitect/VBench) [![Video](https://img.shields.io/badge/YouTube-Video-c4302b?logo=youtube&logoColor=red)](https://www.youtube.com/watch?v=7IhCC8Qqn8Y) [![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)
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- **Comprehensive Dimensions:** We carefully decompose video generation quality into 16 comprehensive dimensions to reveal individual model's strengths and weaknesses.
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- **Human Alignment:** We conducted extensive experiments and human annotations to validate robustness of VBench.
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- **Valuable Insights:** VBench provides multi-perspective insights useful for the community.
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Please follow the instructions in [VBench](https://github.com/Vchitect/VBench?tab=readme-ov-file#usage) to upload the generated `result.json` file here. After clicking the `Submit Eval` button, click the `Refresh` button.
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