---
license: apache-2.0
pipeline_tag: image-to-video
---

# UniWorld-View: Large-Baseline View Synthesis via Video Diffusion Models

UniWorld-View is a unified framework for controllable large-baseline novel view synthesis from monocular inputs (casual videos or single images) using video diffusion models.

- **Paper:** [UniWorld-View: Large-Baseline View Synthesis via Video Diffusion Models](https://huggingface.co/papers/2608.04701)
- **Project Page:** [https://zhouhyocean.github.io/uniworld-view/](https://zhouhyocean.github.io/uniworld-view/)
- **GitHub Repository:** [https://github.com/PKU-YuanGroup/UniWorld-View](https://github.com/PKU-YuanGroup/UniWorld-View)

## Citation

```bibtex
@misc{zhou2026uniworldviewlargebaselineviewsynthesis,
      title={UniWorld-View: Large-Baseline View Synthesis via Video Diffusion Models}, 
      author={Haiyang Zhou and Wangbo Yu and Chaoran Feng and Xunyu Zhou and Yonghong Tian and Li Yuan},
      year={2026},
      eprint={2608.04701},
      archivePrefix={arXiv},
      primaryClass={cs.CV},
      url={https://arxiv.org/abs/2608.04701}, 
}
```