Tencent-Hunyuan/Hunyuan3D-Part

Tencent-Hunyuan/Hunyuan3D-Part

Description: Hunyuan 3D Part Segmentation and Generation Pipeline

Language: Python

License: NOASSERTION

Stars: 493

Forks: 55

Open issues: 13

Created: 2025-09-25T13:14:55Z

Pushed: 2025-12-05T03:43:28Z

Default branch: main

Fork: no

Archived: no

README:

☯️ Hunyuan3D Part


Our 3D part generation pipeline 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 3D part Segmentation.

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

X-Part： high-fidelity and structure-coherent shape decomposition

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

Notice

• 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

@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}
}

@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}
}