Vchitect T2V 是由上海人工智能实验室于 2025 年发布的一个视频生成数据集，相关论文成果为「Vchitect-2.0: Parallel Transformer for Scal Up Video Diffusion Models」旨在聚焦于提升模型在文本和视觉内容之间的转换能力，帮助研究人员和开发者在图像生成、语义理解、跨模态任务等方面取得进展。 该数据集包含了 1,400 万个高质量视频，且每个视频都配有详细的文本字幕。

Citation

@article{fan2025vchitect,
title={Vchitect-2.0: Parallel Transformer for Scaling Up Video Diffusion Models},
author={Fan, Weichen and Si, Chenyang and Song, Junhao and Yang, Zhenyu and He, Yinan and Zhuo, Long and Huang, Ziqi and Dong, Ziyue and He, Jingwen and Pan, Dongwei and others},
journal={arXiv preprint arXiv:2501.08453},
year={2025}
}
@article{si2025RepVideo,
title={RepVideo: Rethinking Cross-Layer Representation for Video Generation},
author={Si, Chenyang and Fan, Weichen and Lv, Zhengyao and Huang, Ziqi and Qiao, Yu and Liu, Ziwei},
journal={arXiv 2501.08994},
year={2025}
}