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| Format: | Preprint |
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2026
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| Online Access: | https://arxiv.org/abs/2604.03198 |
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| _version_ | 1866911565369835520 |
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| author | 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 |
| author_facet | 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 |
| contents | 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. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2604_03198 |
| institution | arXiv |
| publishDate | 2026 |
| record_format | arxiv |
| spellingShingle | The Eleventh NTIRE 2026 Efficient Super-Resolution Challenge Report 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 Computer Vision and Pattern Recognition 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. |
| title | The Eleventh NTIRE 2026 Efficient Super-Resolution Challenge Report |
| topic | Computer Vision and Pattern Recognition |
| url | https://arxiv.org/abs/2604.03198 |