NTIRE 2024 Challenge on Light Field Image Super-Resolution: Methods and Results
Publiceringsår
2024
Upphovspersoner
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
Abstrakt
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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Publikationstyp
Publikationsform
Artikel
Moderpublikationens typ
Konferens
Artikelstyp
Annan artikel
Målgrupp
VetenskapligKollegialt utvärderad
Kollegialt utvärderadUKM:s publikationstyp
A4 Artikel i en konferenspublikationPublikationskanalens uppgifter
Moderpublikationens namn
2024 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW)
Sidor
6218-6234
ISSN
ISBN
Publikationsforum
Publikationsforumsnivå
1
Öppen tillgång
Öppen tillgänglighet i förläggarens tjänst
Nej
Parallellsparad
Ja
Övriga uppgifter
Vetenskapsområden
Data- och informationsvetenskap
Nyckelord
[object Object],[object Object]
Förlagets internationalitet
Internationell
Internationell sampublikation
Ja
Sampublikation med ett företag
Nej
DOI
10.1109/CVPRW63382.2024.00626
Publikationen ingår i undervisnings- och kulturministeriets datainsamling
Ja