NTIRE 2025 Challenge on Light Field Image Super-Resolution: Methods and Results
Yingqian Wang, Zhengyu Liang, Fengyuan Zhang, Lvli Tian, Longguang Wang, Juncheng Li, Jungang Yang, Radu Timofte, Yulan Guo, Kai Jin, Zeqiang Wei, Angulia Yang, Di Wu, Mingzhi Gao, Xiuzhuang Zhou, Yue Yan, Yuhao Wang, Shuang Chen, Zeping Tian, Yongtong Hu, Yao Lu, Haosong Liu, Xiancheng Zhu, Huanqiang Zeng, Jianqing Zhu, Yifan Shi, Junhui Hou, Mingyang Yu, Zhijian Wu, Dingjiang Huang, Wenli Zheng, Zekai Xu, Huiyuan Fu, Heng Zhang, Zhijuan Huang, Hongyuan Yu, Zexi Hu, Haodong Chen, Yuk Ying Chung, Xiaoming Chen, Zean Chen, Yeyao Chen, Gangyi Jiang, Haiyong Xu, Ting Luo, Guanglong Liao, Danhao Zhang, Siyu Zhang, Wendong Mao, Zhongfeng Wang, Sunita Arya, Abhishek Sinha, S. Manthira Moorthi, Hao Zhang, Hao Sheng, Da Yang, Zhenglong Cui, Shuai Wang, Haotian Zhang, Xingzheng Wang, Yuanbo Huang, Jiahao Lin, Yuhang Lin, Ahmed Salem, Ebrahem Elkady, Hatem Ibrahem, Jae‐Won Suh, Hyun‐Soo Kang, Changguang Wu, Hao Hou, Pengpeng Li, Peng Huang, Jiangxin Dong, Jinhui Tang
Abstract
This report summarizes the 3rd NTIRE challenge on light field (LF) image super-resolution (SR), focusing on novel methods and their outcomes. This challenge aims to super-resolve LF images degraded by bicubic downsampling, and comprises three tracks: a classical track, an efficiency track, and a large model track. In total, 308 participants registered, and 13 teams submitted results that outperformed the baseline methods. The challenge has established a new state-of-the-art in LF image SR, e.g., the winning method in Track 1 achieves a 0.36 dB PSNR improvement over last year's champion on the test set. We present the submitted solutions, analyze their common trends, and highlight practical techniques. We hope this challenge will inspire further advancements in LF image SR.