EasonXiao-888/LongV2VBench

Dataset

LongV2VBench

1

5 commits

1 linked in READMEs

updated Oct 9, 2026

See the code

README

LongV2VBench

LongV2VBench (EasonXiao-888/LongV2VBench) is a benchmark for instruction-guided long-video editing introduced in JoyAI-Video-Edit: Real-Time Open-Ended Video Editing with Autoregressive Diffusion. It contains 229 approximately one-minute real-world videos spanning background change, global style, local addition, local modification, and local removal. The benchmark evaluates sustained editing quality, temporal consistency, and source fidelity.

GitHub repository: jd-opensource/JoyAI-Video-Edit.

Representative source videos from LongV2VBench

Citation

If you use LongV2VBench in your research, please cite:

@article{xiao2026joyai,
  title={JoyAI-Video-Edit: Real-Time Open-Ended Video Editing with Autoregressive Diffusion},
  author={Xiao, Yicheng and Dai, Wenxun and Qin, Xinran and Song, Lin and Zhang, Maoquan and Xu, Hang and Chen, Yukang and Li, Yitong and Zhang, Guohui and Zhang, Yuan and Zhang, Xuying and Zhang, Tommy and Yuan, Jianlong and Li, Peihao and Lu, Shuai and Fu, Siming and Zhao, Chuyang and Han, Xin and Huang, Jie and Li, Wenbo and Ma, Guoqing and Huang, Wei and Qi, Xiaojuan and Huang, Haoyang and Duan, Nan},
  journal={arXiv preprint arXiv:2608.03974},
  year={2026}
}
benchmark
long-video
video-editing

EasonXiao-888/LongV2VBench

Dataset

LongV2VBench

1

5 commits

1 linked in READMEs

updated Oct 9, 2026

See the code

README

LongV2VBench

LongV2VBench (EasonXiao-888/LongV2VBench) is a benchmark for instruction-guided long-video editing introduced in JoyAI-Video-Edit: Real-Time Open-Ended Video Editing with Autoregressive Diffusion. It contains 229 approximately one-minute real-world videos spanning background change, global style, local addition, local modification, and local removal. The benchmark evaluates sustained editing quality, temporal consistency, and source fidelity.

GitHub repository: jd-opensource/JoyAI-Video-Edit.

Representative source videos from LongV2VBench

Citation

If you use LongV2VBench in your research, please cite:

@article{xiao2026joyai,
  title={JoyAI-Video-Edit: Real-Time Open-Ended Video Editing with Autoregressive Diffusion},
  author={Xiao, Yicheng and Dai, Wenxun and Qin, Xinran and Song, Lin and Zhang, Maoquan and Xu, Hang and Chen, Yukang and Li, Yitong and Zhang, Guohui and Zhang, Yuan and Zhang, Xuying and Zhang, Tommy and Yuan, Jianlong and Li, Peihao and Lu, Shuai and Fu, Siming and Zhao, Chuyang and Han, Xin and Huang, Jie and Li, Wenbo and Ma, Guoqing and Huang, Wei and Qi, Xiaojuan and Huang, Haoyang and Duan, Nan},
  journal={arXiv preprint arXiv:2608.03974},
  year={2026}
}
benchmark
long-video
video-editing