NTIRE 2025 Challenge on Short-Form UGC Video Quality Assessment and Enhancement: KwaiSR Dataset and Study

Cite

Text

Li et al. "NTIRE 2025 Challenge on Short-Form UGC Video Quality Assessment and Enhancement: KwaiSR Dataset and Study." IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops, 2025.

Markdown

[Li et al. "NTIRE 2025 Challenge on Short-Form UGC Video Quality Assessment and Enhancement: KwaiSR Dataset and Study." IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops, 2025.](https://mlanthology.org/cvprw/2025/li2025cvprw-ntire-a/)

BibTeX

@inproceedings{li2025cvprw-ntire-a,
  title     = {{NTIRE 2025 Challenge on Short-Form UGC Video Quality Assessment and Enhancement: KwaiSR Dataset and Study}},
  author    = {Li, Xin and Wang, Xijun and Li, Bingchen and Yuan, Kun and Shao, Yizhen and Yao, Suhang and Sun, Ming and Zhou, Chao and Timofte, Radu and Chen, Zhibo},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops},
  year      = {2025},
  pages     = {1126-1136},
  url       = {https://mlanthology.org/cvprw/2025/li2025cvprw-ntire-a/}
}