Vchitect T2V is a video generation dataset released by Shanghai Artificial Intelligence Laboratory in 2025. The related paper results are "Vchitect-2.0: Parallel Transformer for Scal Up Video Diffusion Models"Aims to focus on improving the model's ability to convert between text and visual content, helping researchers and developers make progress in image generation, semantic understanding, cross-modal tasks, etc. The dataset contains 14 million high-quality videos, each with detailed text captions.

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}
}