VQualA 2025 Challenge on Face Image Quality Assessment: Methods and Results
Abstract
Face images play a crucial role in numerous applications; however, real-world conditions frequently introduce degradations such as noise, blur, and compression artifacts, affecting overall image quality and hindering subsequent tasks. To address this challenge, we organized the VQualA 2025 Challenge on Face Image Quality Assessment (FIQA) as part of the ICCV 2025 Workshops. Participants created lightweight and efficient models (limited to 0.5 GFLOPs and 5 million parameters) for the prediction of Mean Opinion Scores (MOS) on face images with arbitrary resolutions and realistic degradations. Submissions underwent comprehensive evaluations through correlation metrics on a dataset of in-the-wild face images. This challenge attracted 127 participants, with 1519 final submissions. This report summarizes the methodologies and findings for advancing the development of practical FIQA approaches.
Cite
@article{arxiv.2508.18445,
title = {VQualA 2025 Challenge on Face Image Quality Assessment: Methods and Results},
author = {Sizhuo Ma and Wei-Ting Chen and Qiang Gao and Jian Wang and Chris Wei Zhou and Wei Sun and Weixia Zhang and Linhan Cao and Jun Jia and Xiangyang Zhu and Dandan Zhu and Xiongkuo Min and Guangtao Zhai and Baoying Chen and Xiongwei Xiao and Jishen Zeng and Wei Wu and Tiexuan Lou and Yuchen Tan and Chunyi Song and Zhiwei Xu and MohammadAli Hamidi and Hadi Amirpour and Mingyin Bai and Jiawang Du and Zhenyu Jiang and Zilong Lu and Ziguan Cui and Zongliang Gan and Xinpeng Li and Shiqi Jiang and Chenhui Li and Changbo Wang and Weijun Yuan and Zhan Li and Yihang Chen and Yifan Deng and Ruting Deng and Zhanglu Chen and Boyang Yao and Shuling Zheng and Feng Zhang and Zhiheng Fu and Abhishek Joshi and Aman Agarwal and Rakhil Immidisetti and Ajay Narasimha Mopidevi and Vishwajeet Shukla and Hao Yang and Ruikun Zhang and Liyuan Pan and Kaixin Deng and Hang Ouyang and Fan yang and Zhizun Luo and Zhuohang Shi and Songning Lai and Weilin Ruan and Yutao Yue},
journal= {arXiv preprint arXiv:2508.18445},
year = {2025}
}
Comments
ICCV 2025 VQualA workshop FIQA track