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--- |
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language: |
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- en |
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pretty_name: GAPartNet |
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tags: |
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- Articulated Objects |
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- Embodied AI |
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license: cc-by-nc-4.0 |
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extra_gated_heading: "Acknowledge license to accept the repository" |
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extra_gated_prompt: "You agree to use this dataset under the [CC BY-NC 4.0 license](https://creativecommons.org/licenses/by-nc/4.0/) terms" |
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viewer: false |
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--- |
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## This is the GAPartNet dataset. |
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Currently, objects from PartNet Mobility have already been released. |
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If you want to download this dataset, please complete the following form. |
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If you think this dataset useful, please consider cite this work: |
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``` |
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@article{geng2022gapartnet, |
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title={GAPartNet: Cross-Category Domain-Generalizable Object Perception and Manipulation via Generalizable and Actionable Parts}, |
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author={Geng, Haoran and Xu, Helin and Zhao, Chengyang and Xu, Chao and Yi, Li and Huang, Siyuan and Wang, He}, |
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journal={arXiv preprint arXiv:2211.05272}, |
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year={2022} |
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} |
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``` |
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The official repository of this work is https://github.com/PKU-EPIC/GAPartNet/tree/release. |
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