Acknowledge license to accept the repository
This repository is publicly accessible, but you have to accept the conditions to access its files and content.
By using data from this repo, users agree to the corresponding licensing of the original data: - PartNet-Mobility license [2]. - ACD [1]: HSSD license (CC BY-NC 4.0) [3], ABO license [4] and 3D-FUTURE license [5].
To request access to ACD, you will need to provide your full name (please provide both your first and last name), the name of your advisor or the principal investigator (PI) of your lab (in the PI/Advisor) fields, and the school or company that you are affiliated with (the Affiliation field). After requesting access to this repo, you will be considered for access approval.
Log in or Sign Up to review the conditions and access this dataset content.
This repo contains the data associated with the paper S2O: Static to Openable Enhancement for Articulated 3D Objects. The code can be found on GitHub. Also, check out our project website.
The structure is as follows:
pm/ - PartNet-Mobility [2]
- processed_mesh/ - meshes processed for S2O pipeline and corresponding annotations.
- pcd/ - inference point clouds.
acd/ - ACD [1,3,4,5]
- processed_mesh/ - meshes processed for S2O pipeline and corresponding annotations.
- raw_mesh/ - unprocessed meshes, annotations embedded in glTF extras field.
- mesh_w_interiors/ - meshes with interiors added (NOTE - some shapes have issues, under development), annotations embedded in glTF extras field.
- art_anno/ - articulation annotations stored separately.
- pcd/ - inference point clouds.
metadata/ - various metadata
- data.json - PM train/val/test split.
- acd_data.json - ACD split.
- ...
ckpts/ - S2O checkpoints
Let us know if you find any issues with ACD annotations from raw_mesh or mesh_w_interiors subfolders by submitting a GitHub issue in S2O repo, these are the folders that will be maintained!
References
[1] - S2O: Static to Openable Enhancement for Articulated 3D Objects. Denys Iliash, Hanxiao Jiang, Yiming Zhang, Manolis Savva, Angel X. Chang.
[2] - SAPIEN: A SimulAted Part-based Interactive ENvironment. Fanbo Xiang, Yuzhe Qin, Kaichun Mo, Yikuan Xia, Hao Zhu, Fangchen Liu, Minghua Liu, Hanxiao Jiang, Yifu Yuan, He Wang, Li Yi, Angel X. Chang, Leonidas J. Guibas, Hao Su.
[3] - Habitat Synthetic Scenes Dataset (HSSD-200): An Analysis of 3D Scene Scale and Realism Tradeoffs for ObjectGoal Navigation. Mukul Khanna, Yongsen Mao, Hanxiao Jiang, Sanjay Haresh, Brennan Shacklett, Dhruv Batra, Alexander Clegg, Eric Undersander, Angel X. Chang, Manolis Savva.
[4] - ABO: Dataset and Benchmarks for Real-World 3D Object Understanding. Jasmine Collins, Shubham Goel, Kenan Deng, Achleshwar Luthra, Leon Xu, Erhan Gundogdu, Xi Zhang, Tomas F. Yago Vicente, Thomas Dideriksen, Himanshu Arora, Matthieu Guillaumin, Jitendra Malik.
[5] - 3D-FUTURE: 3D Furniture shape with TextURE - Huan Fu, Rongfei Jia, Lin Gao, Mingming Gong, Binqiang Zhao, Steve Maybank, Dacheng Tao.
- Downloads last month
- 0