| Title: |
The Eleventh NTIRE 2026 Efficient Super-Resolution Challenge Report |
| Authors: |
Ren, Bin; Guo, Hang; Shu, Yan; Ma, Jiaqi; Cui, Ziteng; Liu, Shuhong; Mei, Guofeng; Sun, Lei; Wu, Zongwei; Khan, Fahad Shahbaz; Khan, Salman; Timofte, Radu; Li, Yawei; Yu, Hongyuan; Xu, Pufan; Wu, Chen; Peng, Long; Yi, Jiaojiao; Yi, Siyang; Cui, Yuning; Xia, Jingyuan; Mou, Xing; He, Keji; Wu, Jinlin; Gao, Zongang; Yang, Sen; Zheng, Rui; Li, Fengguo; Lei, Yecheng; Min, Wenkai; Liu, Jie; Cao, Keye; Sharma, Shubham; Prasad, Manish; Li, Haobo; Fazel, Matin; Bentaleb, Abdelhak; Chen, Rui; Shi, Shurui; Dai, Zitao; Liu, Qingliang; Cheng, Yang; Hu, Jing; Zhang, Xuan; Ding, Rui; Zhang, Tingyi; Deng, Hui; Wang, Mengyang; Liu, Fulin; Wei, Jing; Wang, Qian; Liu, Hongying; Li, Mingyang; Dong, Guanglu; Yang, Zheng; Ren, Chao; Fang, Hongbo; Li, Lingxuan; Si, Lin; Gao, Pan; Gabbouj, Moncef; Ruangsang, Watchara; Aramvith, Supavadee |
| Publication Year: |
2026 |
| Collection: |
ArXiv.org (Cornell University Library) |
| Subject Terms: |
Computer Vision and Pattern Recognition |
| Description: |
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. ; CVPR 2026 NTIRE Workshop Paper, Efficient Super Resolution Technical Report |
| Document Type: |
text |
| Language: |
unknown |
| Relation: |
http://arxiv.org/abs/2604.03198 |
| Availability: |
http://arxiv.org/abs/2604.03198 |
| Accession Number: |
edsbas.9C7FA6C1 |
| Database: |
BASE |