{"ID":2878735,"CreatedAt":"2026-06-01T04:54:23.091178241Z","UpdatedAt":"2026-06-01T04:54:23.091178241Z","DeletedAt":null,"paper_url":"https://arxiv.org/abs/2508.18445","arxiv_id":"2508.18445","title":"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.","short_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 Quali...","url_abs":"https://arxiv.org/abs/2508.18445","url_pdf":"https://arxiv.org/pdf/2508.18445v1","authors":"[\"Sizhuo Ma\",\"Wei-Ting Chen\",\"Qiang Gao\",\"Jian Wang\",\"Chris Wei Zhou\",\"Wei Sun\",\"Weixia Zhang\",\"Linhan Cao\",\"Jun Jia\",\"Xiangyang Zhu\",\"Dandan Zhu\",\"Xiongkuo Min\",\"Guangtao Zhai\",\"Baoying Chen\",\"Xiongwei Xiao\",\"Jishen Zeng\",\"Wei Wu\",\"Tiexuan Lou\",\"Yuchen Tan\",\"Chunyi Song\",\"Zhiwei Xu\",\"MohammadAli Hamidi\",\"Hadi Amirpour\",\"Mingyin Bai\",\"Jiawang Du\",\"Zhenyu Jiang\",\"Zilong Lu\",\"Ziguan Cui\",\"Zongliang Gan\",\"Xinpeng Li\",\"Shiqi Jiang\",\"Chenhui Li\",\"Changbo Wang\",\"Weijun Yuan\",\"Zhan Li\",\"Yihang Chen\",\"Yifan Deng\",\"Ruting Deng\",\"Zhanglu Chen\",\"Boyang Yao\",\"Shuling Zheng\",\"Feng Zhang\",\"Zhiheng Fu\",\"Abhishek Joshi\",\"Aman Agarwal\",\"Rakhil Immidisetti\",\"Ajay Narasimha Mopidevi\",\"Vishwajeet Shukla\",\"Hao Yang\",\"Ruikun Zhang\",\"Liyuan Pan\",\"Kaixin Deng\",\"Hang Ouyang\",\"Fan yang\",\"Zhizun Luo\",\"Zhuohang Shi\",\"Songning Lai\",\"Weilin Ruan\",\"Yutao Yue\"]","published":"2025-08-25T19:48:52Z","proceeding":"cs.CV","tasks":"[\"cs.CV\"]","methods":"[\"Generative Adversarial Network\"]","has_code":false}