PhysX-Mobility
收藏魔搭社区2026-01-02 更新2025-11-22 收录
下载链接:
https://modelscope.cn/datasets/AI-ModelScope/PhysX-Mobility
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# PhysX-Mobility
<p align="left"><a href="https://arxiv.org/abs/2511.13648"><img src='https://img.shields.io/badge/arXiv-Paper-red?logo=arxiv&logoColor=white' alt='arXiv'></a>
<a href='https://huggingface.co/papers/2511.13648'><img src='https://img.shields.io/badge/%F0%9F%A4%97%20Hugging%20Face-Paper-blue'></a>
<a href='https://physx-anything.github.io/'><img src='https://img.shields.io/badge/Project_Page-Website-green?logo=homepage&logoColor=white' alt='Project Page'></a>
<a href='https://youtu.be/okMms-NdxMk'><img src='https://img.shields.io/youtube/views/okMms-NdxMk'></a>
This dataset aims to bridge the critical gap in physics-annotated 3D datasets. It is the first physics-grounded 3D dataset systematically annotated across five foundational dimensions: **absolute scale**, **material**, **affordance**, **kinematics**, and **function description**.
## Dataset Details
The overall structure of our PhysX-Mobility dataset is the same as that of [PhysXNet](https://huggingface.co/datasets/Caoza/PhysX-3D).
If you find our dataset useful for your work, please cite:
```
@article{physxanything,
title={PhysX-Anything: Simulation-Ready Physical 3D Assets from Single Image},
author={Cao, Ziang and Hong, Fangzhou and Chen, Zhaoxi and Pan, Liang and Liu, Ziwei},
journal={arXiv preprint arXiv:2511.13648},
year={2025}
}
```
### Acknowledgement
PhysX-Mobility are based on [PartNet-Mobility](https://sapien.ucsd.edu/browse). We would like to express our sincere thanks to the contributors.
# PhysX-Mobility
<p align="left"><a href="https://arxiv.org/abs/2511.13648"><img src='https://img.shields.io/badge/arXiv-Paper-red?logo=arxiv&logoColor=white' alt='arXiv'></a>
<a href='https://huggingface.co/papers/2511.13648'><img src='https://img.shields.io/badge/%F0%9F%A4%97%20Hugging%20Face-Paper-blue'></a>
<a href='https://physx-anything.github.io/'><img src='https://img.shields.io/badge/Project_Page-Website-green?logo=homepage&logoColor=white' alt='Project Page'></a>
<a href='https://youtu.be/okMms-NdxMk'><img src='https://img.shields.io/youtube/views/okMms-NdxMk'></a>
本数据集旨在填补物理标注三维(3D)数据集领域的关键空白。它是首个在**绝对尺度(absolute scale)**、**材质(material)**、**可供性(affordance)**、**运动学(kinematics)**与**功能描述(function description)**五大基础维度上开展系统性标注的物理锚定三维数据集。
## 数据集详情
本PhysX-Mobility数据集的整体结构与[PhysXNet](https://huggingface.co/datasets/Caoza/PhysX-3D)完全一致。
若您的研究工作中使用了本数据集,请引用以下文献:
@article{physxanything,
title={PhysX-Anything: Simulation-Ready Physical 3D Assets from Single Image},
author={Cao, Ziang and Hong, Fangzhou and Chen, Zhaoxi and Pan, Liang and Liu, Ziwei},
journal={arXiv preprint arXiv:2511.13648},
year={2025}
}
### 致谢
PhysX-Mobility数据集基于[PartNet-Mobility](https://sapien.ucsd.edu/browse)构建,在此向所有贡献者致以诚挚的谢意。
提供机构:
maas
创建时间:
2025-11-18



