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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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Organizations and authors

LUT University

Liu Zhisong Orcid -palvelun logo

Publication type

Publication format

Article

Parent publication type

Conference

Article type

Other article

Audience

Scientific

Peer-reviewed

Peer-Reviewed

MINEDU's publication type classification code

A4 Article in conference proceedings

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