NTIRE 2025 Challenge on Image Super-Resolution (x4): Methods and Results

Zheng Chen,Kai Liu,Jue Gong,Jingkai Wang,Lei Sun,Zongwei Wu,Radu Timofte,Yulun Zhang,Xiangyu Kong,Xiaoxuan Yu,Hyunhee Park,Suejin Han,Hakjae Jeon,Dafeng Zhang,Hyung-Ju Chun,Donghun Ryou,Inju Ha,Bohyung Han,Lu Zhao,Yuyi Zhang,Pengyu Yan,Jiawei Hu,Pengwei Liu,Fengjun Guo,Hongyuan Yu,Pufan Xu,Zhijuan Huang,Shuyuan Cui,Peng Guo,Jiahui Liu,Dongkai Zhang,Heng Zhang,Huiyuan Fu,Huadong Ma,Yanhui Guo,Sisi Tian,Xin Liu,Jinwen Liang,Jie Liu,Jie Tang,Gangshan Wu,Zeyu Xiao,Zhuoyuan Li,Yinxiang Zhang,Wenxuan Cai,Vijayalaxmi Ashok Aralikatti,Nikhil Akalwadi,G Gyaneshwar Rao,Chaitra Desai,Ramesh Ashok Tabib,Uma Mudenagudi,Marcos V. Conde,Alejandro Merino,Bruno Longarela,Javier Abad,Weijun Yuan,Zhan Li,Zhanglu Chen,Boyang Yao,Aagam Jain,Milan Kumar Singh,Ankit Kumar,Shubh Kawa,Divyavardhan Singh,Anjali Sarvaiya,Kishor Upla,Raghavendra Ramachandra,Chia-Ming Lee,Yu-Fan Lin,Chih-Chung Hsu,Risheek V Hiremath,Yashaswini Palani,Yuxuan Jiang,Qiang Zhu,Siyue Teng,Fan Zhang,Shuyuan Zhu,Bing Zeng,David Bull,Jingwei Liao,Yuqing Yang,Wenda Shao,Junyi Zhao,Qisheng Xu,Kele Xu,Sunder Ali Khowaja,Ik Hyun Lee,Snehal Singh Tomar,Rajarshi Ray,Klaus Mueller,Sachin Chaudhary,Surya Vashisth,Akshay Dudhane,Praful Hambarde,Satya Naryan Tazi,Prashant Patil,Santosh Kumar Vipparthi,Subrahmanyam Murala,Bilel Benjdira,Anas M. Ali,Wadii Boulila,Zahra Moammeri,Ahmad Mahmoudi-Aznaveh,Ali Karbasi,Hossein Motamednia,Liangyan Li,Guanhua Zhao,Kevin Le,Yimo Ning,Haoxuan Huang,Jun Chen

from arxiv, NTIRE 2025 webpage: https://www.cvlai.net/ntire/2025. Code: https://github.com/zhengchen1999/NTIRE2025_ImageSR_x4

This paper presents the NTIRE 2025 image super-resolution ($\times$4) challenge, one of the associated competitions of the 10th NTIRE Workshop at CVPR 2025. The challenge aims to recover high-resolution (HR) images from low-resolution (LR) counterparts generated through bicubic downsampling with a $\times$4 scaling factor. The objective is to develop effective network designs or solutions that achieve state-of-the-art SR performance. To reflect the dual objectives of image SR research, the challenge includes two sub-tracks: (1) a restoration track, emphasizes pixel-wise accuracy and ranks submissions based on PSNR; (2) a perceptual track, focuses on visual realism and ranks results by a perceptual score. A total of 286 participants registered for the competition, with 25 teams submitting valid entries. This report summarizes the challenge design, datasets, evaluation protocol, the main results, and methods of each team. The challenge serves as a benchmark to advance the state of the art and foster progress in image SR.

翻译：本文介绍了NTIRE 2025图像超分辨率（×4）挑战赛，该赛事是CVPR 2025第十届NTIRE研讨会的重要组成部分。本挑战赛旨在从通过双三次下采样生成的×4缩放因子低分辨率图像中恢复高分辨率图像，目标是开发能够实现最先进超分辨率性能的有效网络设计或解决方案。为反映图像超分辨率研究的双重目标，挑战赛设置两个子赛道：（1）恢复赛道，强调像素级精度，根据PSNR对提交结果进行排名；（2）感知赛道，聚焦视觉真实性，通过感知评分评估结果。共有286名参赛者注册参与，其中25支团队提交了有效参赛作品。本报告总结了挑战赛设计、数据集、评估协议、主要结果及各团队方法。该挑战赛作为基准测试，推动图像超分辨率领域技术发展并促进研究进步。