NTIRE 2024 Challenge on Light Field Image Super-Resolution: Methods and Results
Year of publication
2024
Authors
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 P
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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Publication type
Publication format
Article
Parent publication type
Conference
Article type
Other article
Audience
ScientificPeer-reviewed
Peer-ReviewedMINEDU's publication type classification code
A4 Article in conference proceedingsPublication channel information
Parent publication name
2024 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW)
Pages
6218-6234
ISSN
ISBN
Publication forum
Publication forum level
1
Open access
Open access in the publisher’s service
No
Self-archived
Yes
Other information
Fields of science
Computer and information sciences
Keywords
[object Object],[object Object]
Internationality of the publisher
International
International co-publication
Yes
Co-publication with a company
No
DOI
10.1109/CVPRW63382.2024.00626
The publication is included in the Ministry of Education and Culture’s Publication data collection
Yes