metadata
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
- Project Page: https://zhouhyocean.github.io/uniworld-view/
- GitHub Repository: https://github.com/PKU-YuanGroup/UniWorld-View
Citation
@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},
}