| 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}, | |
| } | |
| ``` |