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ART•V: Auto-Regressive Text-to-Video Generation with Diffusion Models

ART•V is an efficient framework for auto-regressive video generation with diffusion models. It generates a single frame at a time, conditioned on the previous ones.

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Cite this as

Wenming Weng, Ruoyu Feng, Yanhui Wang, Qi Dai, Chunyu Wang, Dacheng Yin, Zhiyuan Zhao, Kai Qiu, Jianmin Bao, Yuhui Yuan, Chong Luo, Yueyi Zhang, Zhiwei Xiong (2024). Dataset: ART•V: Auto-Regressive Text-to-Video Generation with Diffusion Models. https://doi.org/10.57702/qtfigx6j

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Additional Info

Field	Value
Created	December 2, 2024
Last update	December 2, 2024
Defined In	https://doi.org/10.48550/arXiv.2311.18834
Author	Wenming Weng
More Authors	Ruoyu Feng Yanhui Wang Qi Dai Chunyu Wang Dacheng Yin Zhiyuan Zhao Kai Qiu Jianmin Bao Yuhui Yuan Chong Luo Yueyi Zhang Zhiwei Xiong
Homepage	https://warranweng.github.io/art.v