The Eleventh NTIRE 2026 Efficient Super-Resolution Challenge Report

Journal: arXiv
Published Date:

Abstract

This paper reviews the NTIRE 2026 challenge on efficient single-image super-resolution with a focus on the proposed solutions and results. The aim of this challenge is to devise a network that reduces one or several aspects, such as runtime, parameters, and FLOPs, while maintaining PSNR of around 26.90 dB on the DIV2K_LSDIR_valid dataset, and 26.99 dB on the DIV2K_LSDIR_test dataset. The challenge had 95 registered participants, and 15 teams made valid submissions. They gauge the state-of-the-art results for efficient single-image super-resolution.

Authors

  • Bin Ren; Hang Guo; Yan Shu; Jiaqi Ma; Ziteng Cui; Shuhong Liu; Guofeng Mei; Lei Sun; Zongwei Wu; Fahad Shahbaz Khan; Salman Khan; Radu Timofte; Yawei Li; Hongyuan Yu; Pufan Xu; Chen Wu; Long Peng; Jiaojiao Yi; Siyang Yi; Yuning Cui; Jingyuan Xia; Xing Mou; Keji He; Jinlin Wu; Zongang Gao; Sen Yang; Rui Zheng; Fengguo Li; Yecheng Lei; Wenkai Min; Jie Liu; Keye Cao; Shubham Sharma; Manish Prasad; Haobo Li; Matin Fazel; Abdelhak Bentaleb; Rui Chen; Shurui Shi; Zitao Dai; Qingliang Liu; Yang Cheng; Jing Hu; Xuan Zhang; Rui Ding; Tingyi Zhang; Hui Deng; Mengyang Wang; Fulin Liu; Jing Wei; Qian Wang; Hongying Liu; Mingyang Li; Guanglu Dong; Zheng Yang; Chao Ren; Hongbo Fang; Lingxuan Li; Lin Si; Pan Gao; Moncef Gabbouj; Watchara Ruangsang; Supavadee Aramvith