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| Format: | Preprint |
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2026
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| Online Access: | https://arxiv.org/abs/2604.14558 |
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| author | Chen, Zheng Liu, Kai Wang, Jingkai Yan, Xianglong Li, Jianze Zhang, Ziqing Gong, Jue Li, Jiatong Sun, Lei Liu, Xiaoyang Timofte, Radu Zhang, Yulun Park, Jihye Im, Yoonjin Chun, Hyungju Park, Hyunhee Park, MinKyu Xie, Zheng Kong, Xiangyu Yuan, Weijun Li, Zhan Song, Qiurong Zhu, Luen Zhang, Fengkai Zhu, Xinzhe Chen, Junyang Wang, Congyu Yang, Yixin Zhou, Zhaorun Dong, Jiangxin Pan, Jinshan Wang, Shengwei Ou, Jiajie Li, Baiang Ma, Sizhuo Gao, Qiang Zhang, Jusheng Wang, Jian Wang, Keze Liu, Yijiao Chen, Yingsi Li, Hui Wang, Yu Zhu, Congchao Ahmad, Saeed Lee, Ik Hyun Park, Jun Young Yoon, Ji Hwan Yan, Kainan Wang, Zian Wang, Weibo Zou, Shihao Dong, Chao Zhou, Wei Li, Linfeng Lee, Jaeseong Chae, Jaeho Kim, Jinwoo Kim, Seonjoo Hong, Yucong Yan, Zhenming Chen, Junye Han, Ruize Wang, Song Jiang, Yuxuan Zeng, Chengxi Peng, Tianhao Zhang, Fan Bull, David Mu, Tongyao Cao, Qiong Wang, Yifan Pan, Youwei Cao, Leilei Peng, Xiaoping Deng, Wei Chen, Yifei Xiong, Wenbo Hu, Xian Zhang, Yuxin Cheng, Xiaoyun Ji, Yang Chen, Zonghao Xue, Zhihao Hu, Junqin Kumar, Nihal Tomar, Snehal Singh Mueller, Klaus Vashisth, Surya Shaily, Prateek Kumar, Jayant Sharma, Hardik Negi, Ashish Chaudhary, Sachin Dudhane, Akshay Hambarde, Praful Shukla, Amit Shi, Shijun Zhang, Jiangning Liu, Yong Hu, Kai Xu, Jing Zeng, Xianfang M, Amitesh S, Hariharan Lee, Chia-Ming Lin, Yu-Fan Hsu, Chih-Chung K, Nishalini A, Sreenath K Benjdira, Bilel Ali, Anas M. Boulila, Wadii Zheng, Shuling Fu, Zhiheng Zhang, Feng Chen, Zhanglu Yao, Boyang Pathak, Nikhil Jain, Aagam Kumar, Milan Upla, Kishor Chavda, Vivek S, Sarang N Ramachandra, Raghavendra Zhang, Zhipeng Wang, Qi Wang, Shiyu Tu, Jiachen Xu, Guoyi Jiang, Yaoxin Liu, Jiajia Shi, Yaokun Li, Yuqi Yang, Chuanguang Feng, Weilun Hong, Zhuzhi Wu, Hao Liu, Junming Tian, Yingli Kulkarni, Amish Bhushan Shet, Tejas R R Vernekar, Saakshi M Akalwadi, Nikhil Mallibhat, Kaushik Tabib, Ramesh Ashok Mudenagudi, Uma Pan, Yuwen Chen, Tianrun Ji, Deyi Zhu, Qi Zhu, Lanyun Zhangyi, Heyan |
| author_facet | Chen, Zheng Liu, Kai Wang, Jingkai Yan, Xianglong Li, Jianze Zhang, Ziqing Gong, Jue Li, Jiatong Sun, Lei Liu, Xiaoyang Timofte, Radu Zhang, Yulun Park, Jihye Im, Yoonjin Chun, Hyungju Park, Hyunhee Park, MinKyu Xie, Zheng Kong, Xiangyu Yuan, Weijun Li, Zhan Song, Qiurong Zhu, Luen Zhang, Fengkai Zhu, Xinzhe Chen, Junyang Wang, Congyu Yang, Yixin Zhou, Zhaorun Dong, Jiangxin Pan, Jinshan Wang, Shengwei Ou, Jiajie Li, Baiang Ma, Sizhuo Gao, Qiang Zhang, Jusheng Wang, Jian Wang, Keze Liu, Yijiao Chen, Yingsi Li, Hui Wang, Yu Zhu, Congchao Ahmad, Saeed Lee, Ik Hyun Park, Jun Young Yoon, Ji Hwan Yan, Kainan Wang, Zian Wang, Weibo Zou, Shihao Dong, Chao Zhou, Wei Li, Linfeng Lee, Jaeseong Chae, Jaeho Kim, Jinwoo Kim, Seonjoo Hong, Yucong Yan, Zhenming Chen, Junye Han, Ruize Wang, Song Jiang, Yuxuan Zeng, Chengxi Peng, Tianhao Zhang, Fan Bull, David Mu, Tongyao Cao, Qiong Wang, Yifan Pan, Youwei Cao, Leilei Peng, Xiaoping Deng, Wei Chen, Yifei Xiong, Wenbo Hu, Xian Zhang, Yuxin Cheng, Xiaoyun Ji, Yang Chen, Zonghao Xue, Zhihao Hu, Junqin Kumar, Nihal Tomar, Snehal Singh Mueller, Klaus Vashisth, Surya Shaily, Prateek Kumar, Jayant Sharma, Hardik Negi, Ashish Chaudhary, Sachin Dudhane, Akshay Hambarde, Praful Shukla, Amit Shi, Shijun Zhang, Jiangning Liu, Yong Hu, Kai Xu, Jing Zeng, Xianfang M, Amitesh S, Hariharan Lee, Chia-Ming Lin, Yu-Fan Hsu, Chih-Chung K, Nishalini A, Sreenath K Benjdira, Bilel Ali, Anas M. Boulila, Wadii Zheng, Shuling Fu, Zhiheng Zhang, Feng Chen, Zhanglu Yao, Boyang Pathak, Nikhil Jain, Aagam Kumar, Milan Upla, Kishor Chavda, Vivek S, Sarang N Ramachandra, Raghavendra Zhang, Zhipeng Wang, Qi Wang, Shiyu Tu, Jiachen Xu, Guoyi Jiang, Yaoxin Liu, Jiajia Shi, Yaokun Li, Yuqi Yang, Chuanguang Feng, Weilun Hong, Zhuzhi Wu, Hao Liu, Junming Tian, Yingli Kulkarni, Amish Bhushan Shet, Tejas R R Vernekar, Saakshi M Akalwadi, Nikhil Mallibhat, Kaushik Tabib, Ramesh Ashok Mudenagudi, Uma Pan, Yuwen Chen, Tianrun Ji, Deyi Zhu, Qi Zhu, Lanyun Zhangyi, Heyan |
| contents | This paper presents the NTIRE 2026 image super-resolution ($\times$4) challenge, one of the associated competitions of the NTIRE 2026 Workshop at CVPR 2026. The challenge aims to reconstruct high-resolution (HR) images from low-resolution (LR) inputs generated through bicubic downsampling with a $\times$4 scaling factor. The objective is to develop effective super-resolution solutions and analyze recent advances in the field. To reflect the evolving objectives of image super-resolution, the challenge includes two tracks: (1) a restoration track, which emphasizes pixel-wise fidelity and ranks submissions based on PSNR; and (2) a perceptual track, which focuses on visual realism and evaluates results using a perceptual score. A total of 194 participants registered for the challenge, with 31 teams submitting valid entries. This report summarizes the challenge design, datasets, evaluation protocol, main results, and methods of participating teams. The challenge provides a unified benchmark and offers insights into current progress and future directions in image super-resolution. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2604_14558 |
| institution | arXiv |
| publishDate | 2026 |
| record_format | arxiv |
| spellingShingle | The Fourth Challenge on Image Super-Resolution ($\times$4) at NTIRE 2026: Benchmark Results and Method Overview Chen, Zheng Liu, Kai Wang, Jingkai Yan, Xianglong Li, Jianze Zhang, Ziqing Gong, Jue Li, Jiatong Sun, Lei Liu, Xiaoyang Timofte, Radu Zhang, Yulun Park, Jihye Im, Yoonjin Chun, Hyungju Park, Hyunhee Park, MinKyu Xie, Zheng Kong, Xiangyu Yuan, Weijun Li, Zhan Song, Qiurong Zhu, Luen Zhang, Fengkai Zhu, Xinzhe Chen, Junyang Wang, Congyu Yang, Yixin Zhou, Zhaorun Dong, Jiangxin Pan, Jinshan Wang, Shengwei Ou, Jiajie Li, Baiang Ma, Sizhuo Gao, Qiang Zhang, Jusheng Wang, Jian Wang, Keze Liu, Yijiao Chen, Yingsi Li, Hui Wang, Yu Zhu, Congchao Ahmad, Saeed Lee, Ik Hyun Park, Jun Young Yoon, Ji Hwan Yan, Kainan Wang, Zian Wang, Weibo Zou, Shihao Dong, Chao Zhou, Wei Li, Linfeng Lee, Jaeseong Chae, Jaeho Kim, Jinwoo Kim, Seonjoo Hong, Yucong Yan, Zhenming Chen, Junye Han, Ruize Wang, Song Jiang, Yuxuan Zeng, Chengxi Peng, Tianhao Zhang, Fan Bull, David Mu, Tongyao Cao, Qiong Wang, Yifan Pan, Youwei Cao, Leilei Peng, Xiaoping Deng, Wei Chen, Yifei Xiong, Wenbo Hu, Xian Zhang, Yuxin Cheng, Xiaoyun Ji, Yang Chen, Zonghao Xue, Zhihao Hu, Junqin Kumar, Nihal Tomar, Snehal Singh Mueller, Klaus Vashisth, Surya Shaily, Prateek Kumar, Jayant Sharma, Hardik Negi, Ashish Chaudhary, Sachin Dudhane, Akshay Hambarde, Praful Shukla, Amit Shi, Shijun Zhang, Jiangning Liu, Yong Hu, Kai Xu, Jing Zeng, Xianfang M, Amitesh S, Hariharan Lee, Chia-Ming Lin, Yu-Fan Hsu, Chih-Chung K, Nishalini A, Sreenath K Benjdira, Bilel Ali, Anas M. Boulila, Wadii Zheng, Shuling Fu, Zhiheng Zhang, Feng Chen, Zhanglu Yao, Boyang Pathak, Nikhil Jain, Aagam Kumar, Milan Upla, Kishor Chavda, Vivek S, Sarang N Ramachandra, Raghavendra Zhang, Zhipeng Wang, Qi Wang, Shiyu Tu, Jiachen Xu, Guoyi Jiang, Yaoxin Liu, Jiajia Shi, Yaokun Li, Yuqi Yang, Chuanguang Feng, Weilun Hong, Zhuzhi Wu, Hao Liu, Junming Tian, Yingli Kulkarni, Amish Bhushan Shet, Tejas R R Vernekar, Saakshi M Akalwadi, Nikhil Mallibhat, Kaushik Tabib, Ramesh Ashok Mudenagudi, Uma Pan, Yuwen Chen, Tianrun Ji, Deyi Zhu, Qi Zhu, Lanyun Zhangyi, Heyan Computer Vision and Pattern Recognition This paper presents the NTIRE 2026 image super-resolution ($\times$4) challenge, one of the associated competitions of the NTIRE 2026 Workshop at CVPR 2026. The challenge aims to reconstruct high-resolution (HR) images from low-resolution (LR) inputs generated through bicubic downsampling with a $\times$4 scaling factor. The objective is to develop effective super-resolution solutions and analyze recent advances in the field. To reflect the evolving objectives of image super-resolution, the challenge includes two tracks: (1) a restoration track, which emphasizes pixel-wise fidelity and ranks submissions based on PSNR; and (2) a perceptual track, which focuses on visual realism and evaluates results using a perceptual score. A total of 194 participants registered for the challenge, with 31 teams submitting valid entries. This report summarizes the challenge design, datasets, evaluation protocol, main results, and methods of participating teams. The challenge provides a unified benchmark and offers insights into current progress and future directions in image super-resolution. |
| title | The Fourth Challenge on Image Super-Resolution ($\times$4) at NTIRE 2026: Benchmark Results and Method Overview |
| topic | Computer Vision and Pattern Recognition |
| url | https://arxiv.org/abs/2604.14558 |