---
title: Hunyuan3D-Part
canonical_url: "https://www.modelscope.cn/models/Tencent-Hunyuan/Hunyuan3D-Part"
md_url: "https://www.modelscope.cn/models/Tencent-Hunyuan/Hunyuan3D-Part.md"
repository: Tencent-Hunyuan/Hunyuan3D-Part
chinese_name: Hunyuan3D-Part
last_updated: 2025-10-17
pipeline_tag: image-to-3D
tasks:
  - image-to-3D
base_model:
  - tencent/Hunyuan3D-2.1
base_model_relation: finetune
parameters: 4.5B
tensor_type:
  - F32
  - BF16
library_name:
  - safetensors
  - pytorch
frameworks:
  - Pytorch
downloads: 520
stars: 5
tags:
  - 3D-Generation
  - Part-Segmentation
  - Part-Generataion
---

# Hunyuan3D-Part

> Hunyuan3D-Part - Tencent-Hunyuan 在 ModelScope 开源的模型。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…

Tencent-Hunyuan/Hunyuan3D-Part 是 ModelScope 魔搭社区上的 4.5B 参数image-to-3D模型，基于 tencent/Hunyuan3D-2.1 构建。

- **Repository**: Tencent-Hunyuan/Hunyuan3D-Part
- **Tasks**: image-to-3D
- **Parameters**: 4.5B
- **Base model**: tencent/Hunyuan3D-2.1
- **Tags**: 3D-Generation, Part-Segmentation, Part-Generataion
- **Downloads**: 520
- **Stars**: 5
- **Last updated**: 2025-10-17

Source: https://www.modelscope.cn/models/Tencent-Hunyuan/Hunyuan3D-Part

---

### ☯️ **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.  
<img src="images/HYpart-fullpip.jpg" alt="drawing" width="600"/>

####  P3-SAM： Native 3DPart Segmentation.   
- Paper: [ https://arxiv.org/abs/2509.06784](https://arxiv.org/abs/2509.06784).  
- Code: [https://github.com/Tencent-Hunyuan/Hunyuan3D-Part/tree/main/P3-SAM](https://github.com/Tencent-Hunyuan/Hunyuan3D-Part/tree/main/P3-SAM).  
- Project Page: [https://murcherful.github.io/P3-SAM/ ](https://murcherful.github.io/P3-SAM/).  
- HuggingFace Demo: [https://huggingface.co/spaces/tencent/Hunyuan3D-Part](https://huggingface.co/spaces/tencent/Hunyuan3D-Part).   
<img src="images/p3sam.jpg" alt="drawing" width="600"/>



####  X-Part： high-fidelity and structure-coherent shapede composition  
- Paper: [https://arxiv.org/abs/2509.08643](https://arxiv.org/abs/2509.08643).  
- Code: [https://github.com/Tencent-Hunyuan/Hunyuan3D-Part/tree/main/XPart](https://github.com/Tencent-Hunyuan/Hunyuan3D-Part/tree/main/XPart).  
- Project Page: [https://yanxinhao.github.io/Projects/X-Part/](https://yanxinhao.github.io/Projects/X-Part/).  
- HuggingFace Demo: [https://huggingface.co/spaces/tencent/Hunyuan3D-Part](https://huggingface.co/spaces/tencent/Hunyuan3D-Part).   
<img src="images/xpart.jpg" alt="drawing" width="600"/>




#### **Notice**   
- **The current release is a light version of X-Part**. The full-blood version is available on [![Hunyuan3D-Studio](https://img.shields.io/badge/Hunyuan3D-Studio-yellow)](https://3d.hunyuan.tencent.com/studio).  
- 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}
}
```