Abstract
This paper reviews the first challenge on single image super-resolution (restoration of rich details in an low resolution image) with focus on proposed solutions and results. A new DIVerse 2K resolution image dataset (DIV2K) was employed. The challenge had 6 competitions divided into 2 tracks with 3 magnification factors each. Track 1 employed the standard bicubic downscaling setup, while Track 2 had unknown downscaling operators (blur kernel and decimation) but learnable through low and high res train images. Each competition had b∼100 registered participants and 20 teams competed in the final testing phase. They gauge the state-of-the-art in single image super-resolution.
Original language | English |
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Title of host publication | Proceedings - 30th IEEE Conference on Computer Vision and Pattern Recognition Workshops, CVPRW 2017 |
Publisher | IEEE Computer Society |
Pages | 1110-1121 |
Number of pages | 12 |
ISBN (Electronic) | 9781538607336 |
DOIs | |
Publication status | Published - Aug 22 2017 |
Event | 30th IEEE Conference on Computer Vision and Pattern Recognition Workshops, CVPRW 2017 - Honolulu, United States Duration: Jul 21 2017 → Jul 26 2017 |
Publication series
Name | IEEE Computer Society Conference on Computer Vision and Pattern Recognition Workshops |
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Volume | 2017-July |
ISSN (Print) | 2160-7508 |
ISSN (Electronic) | 2160-7516 |
Conference
Conference | 30th IEEE Conference on Computer Vision and Pattern Recognition Workshops, CVPRW 2017 |
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Country/Territory | United States |
City | Honolulu |
Period | 7/21/17 → 7/26/17 |
Bibliographical note
Publisher Copyright:© 2017 IEEE.
ASJC Scopus Subject Areas
- Computer Vision and Pattern Recognition
- Electrical and Electronic Engineering