| | --- |
| | 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} |
| | } |
| | ``` |
| |
|
