chaitnya26 / Hunyuan3D-Part-fork

☯️ Hunyuan3D Part

• Pipeline of our image to 3D part generation. It contains two key components, P3-SAM and X-Part. The holistic mesh is fed to part detection module P3-SAM to obtain the semantic features, part segmentations and part bounding boxes. Then X-Part generate the complete parts.

P3-SAM： Native 3DPart Segmentation.

• Paper: https://arxiv.org/abs/2509.06784 .
• Code: https://github.com/Tencent-Hunyuan/Hunyuan3D-Part/tree/main/P3-SAM .
• Project Page: https://murcherful.github.io/P3-SAM/ .
• HuggingFace Demo: https://huggingface.co/spaces/tencent/Hunyuan3D-Part .

X-Part： high-fidelity and structure-coherent shapede composition

• Paper: https://arxiv.org/abs/2509.08643 .
• Code: https://github.com/Tencent-Hunyuan/Hunyuan3D-Part/tree/main/XPart .
• Project Page: https://yanxinhao.github.io/Projects/X-Part/ .
• HuggingFace Demo: https://huggingface.co/spaces/tencent/Hunyuan3D-Part .

Notice

• The current release is a light version of X-Part . The full-blood version is available on .
• For X-Part, we recommend using ​​scanned​​ or ​​AI-generated meshes​​ (e.g., from Hunyuan3D V2.5 or V3.0) as input.
• P3-SAM can handle any input mesh.

🔗 Citation

If you found this repository helpful, please cite our reports:

• P3-SAM

@article{ma2025p3sam,
  title={P3-sam: Native 3d part segmentation},
  author={Ma, Changfeng and Li, Yang and Yan, Xinhao and Xu, Jiachen and Yang, Yunhan and Wang, Chunshi and Zhao, Zibo and Guo, Yanwen and Chen, Zhuo and Guo, Chunchao},
  journal={arXiv preprint arXiv:2509.06784},
  year={2025}
}

• X-Part

@article{yan2025xpart,
  title={X-Part: high fidelity and structure coherent shape decomposition},
  author={Yan, Xinhao and Xu, Jiachen and Li, Yang and Ma, Changfeng and Yang, Yunhan and Wang, Chunshi and Zhao, Zibo and Lai, Zeqiang and Zhao, Yunfei and Chen, Zhuo and others},
  journal={arXiv preprint arXiv:2509.08643},
  year={2025}
}