| --- |
| license: openrail++ |
| datasets: |
| - krahets/dna_rendering_processed |
| base_model: |
| - stabilityai/stable-diffusion-2-1-base |
| pipeline_tag: video-to-video |
| tags: |
| - 3d-generation |
| - 4d-generation |
| - human |
| - avatar |
| - multi-view video |
| --- |
| |
| # Diffuman4D Model |
|
|
| [**Project Page**](https://diffuman4d.github.io/) | [**Paper**](https://arxiv.org/abs/2507.13344) | [**Code**](https://github.com/zju3dv/Diffuman4D) | [**Dataset**](https://huggingface.co/datasets/krahets/dna_rendering_processed) |
|
|
| > The official model repo for Diffuman4D: 4D Consistent Human View Synthesis from Sparse-View Videos with Spatio-Temporal Diffusion Models. |
|
|
| <img src="assets/images/teaser_dna.gif" width="100%" alt="teaser"> |
|
|
| Diffuman4D enables high-fidelity free-viewpoint rendering of human performances from sparse-view videos. |
|
|
| ## Usage |
|
|
| See the [GitHub repo](https://github.com/zju3dv/Diffuman4D) for detailed usage. |
|
|
| ## Cite |
|
|
| ``` |
| @inproceedings{jin2025diffuman4d, |
| title={Diffuman4D: 4D Consistent Human View Synthesis from Sparse-View Videos with Spatio-Temporal Diffusion Models}, |
| author={Jin, Yudong and Peng, Sida and Wang, Xuan and Xie, Tao and Xu, Zhen and Yang, Yifan and Shen, Yujun and Bao, Hujun and Zhou, Xiaowei}, |
| booktitle={International Conference on Computer Vision (ICCV)}, |
| year={2025} |
| } |
| ``` |
|
|
