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.
|Title of host publication||Proceedings - 30th IEEE Conference on Computer Vision and Pattern Recognition Workshops, CVPRW 2017|
|Publisher||IEEE Computer Society|
|Number of pages||12|
|Publication status||Published - 2017 Aug 22|
|Event||30th IEEE Conference on Computer Vision and Pattern Recognition Workshops, CVPRW 2017 - Honolulu, United States|
Duration: 2017 Jul 21 → 2017 Jul 26
|Name||IEEE Computer Society Conference on Computer Vision and Pattern Recognition Workshops|
|Conference||30th IEEE Conference on Computer Vision and Pattern Recognition Workshops, CVPRW 2017|
|Period||17/7/21 → 17/7/26|
Bibliographical notePublisher Copyright:
© 2017 IEEE.
All Science Journal Classification (ASJC) codes
- Computer Vision and Pattern Recognition
- Electrical and Electronic Engineering