Abstract
This paper reviews the NTIRE 2023 challenge on efficient single-image super-resolution with a focus on the proposed solutions and results. The aim of this challenge is to devise a network that reduces one or several aspects such as runtime, parameters, FLOPs, activations, memory footprint, and depth of RFDN while at least maintaining the PSNR of 29.00dB on DIV2K validation datasets. The challenge had 272 registered participants, and 35 teams made valid submissions. They gauge the state-of-the-art for efficient single-image super-resolution.
Original language | English |
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Title of host publication | Proceedings - 2023 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops, CVPRW 2023 |
Publisher | IEEE Computer Society |
Pages | 1922-1960 |
Number of pages | 39 |
ISBN (Electronic) | 9798350302493 |
DOIs | |
State | Published - 2023 |
Externally published | Yes |
Event | 2023 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops, CVPRW 2023 - Vancouver, Canada Duration: 18 06 2023 → 22 06 2023 |
Publication series
Name | IEEE Computer Society Conference on Computer Vision and Pattern Recognition Workshops |
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Volume | 2023-June |
ISSN (Print) | 2160-7508 |
ISSN (Electronic) | 2160-7516 |
Conference
Conference | 2023 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops, CVPRW 2023 |
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Country/Territory | Canada |
City | Vancouver |
Period | 18/06/23 → 22/06/23 |
Bibliographical note
Publisher Copyright:© 2023 IEEE.