File size: 2,920 Bytes
7a00551 d646334 7a00551 0f34fb2 248392d 8a93da2 248392d 42c4506 248392d 8a93da2 248392d 42c4506 248392d 7a00551 |
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 |
---
library_name: hunyuan3d-2
tags:
- 3D-Generation
- Part-Segmentation
- Part-Generataion
datasets:
- allenai/objaverse
- allenai/objaverse-xl
base_model:
- tencent/Hunyuan3D-2.1
metrics:
- accuracy
---
### ☯️ **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 [](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}
}
``` |