🏆 NTIRE 2025 | The Second Challenge on Short-form UGC Video Quality Assessment and Enhancement
✨ KwaiSR and KVQ Datasets ✨

Competitions Paper Code Data

Organizers

Competition Background

Important dates

  • 2025.01.28 Release of train data (input and output)
  • 2025.02.01 Release of validation data (inputs only)
  • 2025.02.01 Validation server online
  • 2025.03.15 Final test data release (inputs only)
  • 2025.03.21 Test output results submission deadline
  • 2025.03.22 Fact sheets and code/executable submission deadline
  • 2025.03.24 Preliminary test results release to the participants
  • 2025.03.28 Paper submission deadline for entries from the challenge
  • 2025.06.17 NTIRE workshop and challenges, results, and award ceremony (CVPR 2025, Nashville, USA)

Data

Interpolate start reference image.

KwaiSR Dataset

BibTeX



@inproceedings{li2025ntirekvq,
  title={{NTIRE} 2025 Challenge on Short-form UGC Video Quality Assessment and Enhancement: KwaiSR Dataset and Study},
  author={Xin Li and Xijun Wang and Bingchen Li and Kun Yuan and Yizhen Shao and
  Suhang Yao and Ming Sun and Chao Zhou and Radu Timofte and Zhibo Chen},
  booktitle={Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) Workshops},
  year={2025}
}

@inproceedings{li2025netireshot,
  title={{NTIRE} 2025 Challenge on Short-form UGC Video Quality Assessment and Enhancement: Methods and Results},
  author={Xin Li and Kun Yuan and Bingchen Li and Fengbin Guan and
  Yizhen Shao and Zihao Yu and Xijun Wang and Yiting Lu and Wei Luo and
  Suhang Yao and Ming Sun and Chao Zhou and Zhibo Chen and Radu Timofte
        and others},
  booktitle={Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) Workshops},
  year={2025}
}


@inproceedings{li2024ntire,
  title={NTIRE 2024 challenge on short-form UGC video quality assessment: Methods and results},
  author={Li, Xin and Yuan, Kun and Pei, Yajing and Lu, Yiting and Sun, Ming and Zhou, Chao and Chen, Zhibo and Timofte, Radu and Sun, Wei and Wu, Haoning and others},
  booktitle={Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition},
  pages={6415--6431},
  year={2024}
}


@inproceedings{lu2024kvq,
  title={Kvq: Kwai video quality assessment for short-form videos},
  author={Lu, Yiting and Li, Xin and Pei, Yajing and Yuan, Kun and Xie, Qizhi and Qu, Yunpeng and Sun, Ming and Zhou, Chao and Chen, Zhibo},
  booktitle={Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition},
  pages={25963--25973},
  year={2024}
}