The Eleventh NTIRE 2026 Efficient Super-Resolution Challenge Report
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
- SupR
Main:21 Pages
15 Figures
Bibliography:4 Pages
2 Tables
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.
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