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Deep RAW Image Super-Resolution. A NTIRE 2024...
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Deep RAW Image Super-Resolution. A NTIRE 2024 Challenge Survey

Abstract

This paper reviews the NTIRE 2024 RAW Image Super-Resolution Challenge, highlighting the proposed solutions and results. New methods for RAW Super-Resolution could be essential in modern Image Signal Processing (ISP) pipelines, however, this problem is not as explored as in the RGB domain. Th goal of this challenge is to upscale RAW Bayer images by 2x, considering unknown degradations such as noise and blur. In the challenge, a total of 230 participants registered, and 45 submitted results during thee challenge period. The performance of the top-5 sub-missions is reviewed and provided here as a gauge for the current state-of-the-art in RAW Image Super-Resolution.

Authors

Conde MV; Vasluianu F-A; Timofte R; Zhang J; Li J; Wang F; Li X; Liu Z; Park H; Song S

Volume

00

Pagination

pp. 6745-6759

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Publication Date

June 18, 2024

DOI

10.1109/cvprw63382.2024.00668

Name of conference

2024 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW)
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