This paper presents a review for the NTIRE 2025 Challenge on Short-form UGC Video Quality Assessment and Enhancement. The challenge comprises two tracks: (i) Efficient Video Quality Assessment (KVQ), and (ii) Diffusion-based Image Super-Resolution (KwaiSR). Track 1 aims to advance the development of lightweight and efficient video quality assessment (VQA) models, with an emphasis on eliminating reliance on model ensembles, redundant weights, and other computationally expensive components in the previous IQA/VQA competitions. Track 2 introduces a new short-form UGC dataset tailored for single image super-resolution, i.e., the KwaiSR dataset. It consists of 1,800 synthetically generated S-UGC image pairs and 1,900 real-world S-UGC images, which are split into training, validation, and test sets using a ratio of 8:1:1. The primary objective of the challenge is to drive research that benefits the user experience of short-form UGC platforms such as Kwai and TikTok. This challenge attracted 266 participants and received 18 valid final submissions with corresponding fact sheets, significantly contributing to the progress of short-form UGC VQA and image superresolution. The project is publicly available atthis https URLChallengeCVPR-NTIRE2025.
View on arXiv@article{li2025_2504.13131,
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 Yabin Zhang and Ao-Xiang Zhang and Tianwu Zhi and Jianzhao Liu and Yang Li and Jingwen Xu and Yiting Liao and Yushen Zuo and Mingyang Wu and Renjie Li and Shengyun Zhong and Zhengzhong Tu and Yufan Liu and Xiangguang Chen and Zuowei Cao and Minhao Tang and Shan Liu and Kexin Zhang and Jingfen Xie and Yan Wang and Kai Chen and Shijie Zhao and Yunchen Zhang and Xiangkai Xu and Hong Gao and Ji Shi and Yiming Bao and Xiugang Dong and Xiangsheng Zhou and Yaofeng Tu and Ying Liang and Yiwen Wang and Xinning Chai and Yuxuan Zhang and Zhengxue Cheng and Yingsheng Qin and Yucai Yang and Rong Xie and Li Song and Wei Sun and Kang Fu and Linhan Cao and Dandan Zhu and Kaiwei Zhang and Yucheng Zhu and Zicheng Zhang and Menghan Hu and Xiongkuo Min and Guangtao Zhai and Zhi Jin and Jiawei Wu and Wei Wang and Wenjian Zhang and Yuhai Lan and Gaoxiong Yi and Hengyuan Na and Wang Luo and Di Wu and MingYin Bai and Jiawang Du and Zilong Lu and Zhenyu Jiang and Hui Zeng and Ziguan Cui and Zongliang Gan and Guijin Tang and Xinglin Xie and Kehuan Song and Xiaoqiang Lu and Licheng Jiao and Fang Liu and Xu Liu and Puhua Chen and Ha Thu Nguyen and Katrien De Moor and Seyed Ali Amirshahi and Mohamed-Chaker Larabi and Qi Tang and Linfeng He and Zhiyong Gao and Zixuan Gao and Guohua Zhang and Zhiye Huang and Yi Deng and Qingmiao Jiang and Lu Chen },
journal={arXiv preprint arXiv:2504.13131},
year={ 2025 }
}