NTIRE 2024 Challenge on Light Field Image Super-Resolution: Methods and Results

Wang, Yingqian; Liang, Zhengyu; Chen, Qianyu; Wang, Longguang; Yang, Jungang; Timofte, Radu; Guo, Yulan; Chao, Wentao; Kan, Yiming; Wang, Xuechun; Duan, Fuqing; Wang, Guanghui; Xia, Wang; Wang, Ziqi; Yan, Yue; Xia, Peiqi; Wang, Shunzhou; Lu, Yao; Yang, Angulia; Jin, Kai; Wei, Zeqiang; Guo, Sha; Gao, Mingzhi; Zhou, Xiuzhuang; Yu, Zhongxin; Luo, Shaofei; Zhong, Cheng; Chen, Shaorui; Peng, Long; He, Yuhong; Liu, Gaosheng; Yue, Huanjing; Yang, Jingyu; Yao, Zhengjian; Hu, Jiakui; Jin, Lujia; Liu, Zhi-Song; He, Chenhang; Xiao, Jun; Wang, Xiuyuan; Tian, Zonglin; Mao, Yifan; Liu, Deyang; Li, Shizheng; An, Ping

Yingqian Wang, Zhengyu Liang, Qianyu Chen, Longguang Wang, Jungang Yang, Radu Timofte, Yulan Guo, Wentao Chao, Yiming Kan, Xuechun Wang, Fuqing Duan, Guanghui Wang, Wang Xia, Ziqi Wang, Yue Yan, Peiqi Xia, Shunzhou Wang, Yao Lu, Angulia Yang, Kai Jin, Zeqiang Wei, Sha Guo, Mingzhi Gao, Xiuzhuang Zhou, Zhongxin Yu, Shaofei Luo, Cheng Zhong, Shaorui Chen, Long Peng, Yuhong He, Gaosheng Liu, Huanjing Yue, Jingyu Yang, Zhengjian Yao, Jiakui Hu, Lujia Jin, Zhi-Song Liu, Chenhang He, Jun Xiao, Xiuyuan Wang, Zonglin Tian, Yifan Mao, Deyang Liu, Shizheng Li, Ping An; Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) Workshops, 2024, pp. 6218-6234

Abstract

In this report we summarize the 2nd NTIRE challenge on light field (LF) image super-resolution (SR) with a focus on new methods and results. This challenge aims at super-resolving LF images under the standard bicubic downsampling degradation with a magnification factor of x4. Compared with single image SR the major challenge of LF image SR lies in how to exploit complementary angular information from plenty of views with varying disparities. This year of challenge has two tracks including one track on fidelity (i.e. restoration accuracy in terms of PSNR) only and the other track on fidelity with an extra constraint on model size and computational cost. In total 125 participants were successfully registered for this challenge and 9 teams have successfully submitted results with PSNR scores higher than the baseline methods. We report the solutions proposed by the participants and summarize their common trends and useful tricks. We hope this challenge can stimulate future research and inspire new ideas in LF image SR.

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@InProceedings{Wang_2024_CVPR, author = {Wang, Yingqian and Liang, Zhengyu and Chen, Qianyu and Wang, Longguang and Yang, Jungang and Timofte, Radu and Guo, Yulan and Chao, Wentao and Kan, Yiming and Wang, Xuechun and Duan, Fuqing and Wang, Guanghui and Xia, Wang and Wang, Ziqi and Yan, Yue and Xia, Peiqi and Wang, Shunzhou and Lu, Yao and Yang, Angulia and Jin, Kai and Wei, Zeqiang and Guo, Sha and Gao, Mingzhi and Zhou, Xiuzhuang and Yu, Zhongxin and Luo, Shaofei and Zhong, Cheng and Chen, Shaorui and Peng, Long and He, Yuhong and Liu, Gaosheng and Yue, Huanjing and Yang, Jingyu and Yao, Zhengjian and Hu, Jiakui and Jin, Lujia and Liu, Zhi-Song and He, Chenhang and Xiao, Jun and Wang, Xiuyuan and Tian, Zonglin and Mao, Yifan and Liu, Deyang and Li, Shizheng and An, Ping}, title = {NTIRE 2024 Challenge on Light Field Image Super-Resolution: Methods and Results}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) Workshops}, month = {June}, year = {2024}, pages = {6218-6234} }