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

Marcos V. Conde, Florin-Alexandru Vasluianu, Radu Timofte, Jianxing Zhang, Jia Li +30 more
4/24/2024
cs.CVeess.IV

No official code found. Best implementation: mv-lab/AISP (586 stars, last commit 2025-03-05).

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 submissions is reviewed and provided here as a gauge for the current state-of-the-art in RAW Image Super-Resolution.

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Code Implementations(1)

mv-lab/AISPCommunity100%

AI Image Signal Processing and Computational Photography. Official library for NTIRE (CVPR) and AIM (ICCV/ECCV) Challenges. You will find Learned ISPs, RAW Restoration-Upsampling-Reconstruction, Image Enhancement, Bokeh rendering and more!

58661Shell, PythonJun 6, 20221 years ago
cameracomputational-photographycomputer-visioncvprdeblurring+13 more

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Cite this paper

@article{conde2024deep,
  title  = {Deep RAW Image Super-Resolution. A NTIRE 2024 Challenge Survey},
  author = {Marcos V. Conde and Florin-Alexandru Vasluianu and Radu Timofte and Jianxing Zhang and Jia Li and Fan Wang and Xiaopeng Li and Zikun Liu and Hyunhee Park and Sejun Song and Changho Kim and Zhijuan Huang and Hongyuan Yu and Cheng Wan and Wending Xiang and Jiamin Lin and Hang Zhong and Qiaosong Zhang and Yue Sun and Xuanwu Yin and Kunlong Zuo and Senyan Xu and Siyuan Jiang and Zhijing Sun and Jiaying Zhu and Liangyan Li and Ke Chen and Yunzhe Li and Yimo Ning and Guanhua Zhao and Jun Chen and Jinyang Yu and Kele Xu and Qisheng Xu and Yong Dou},
  year   = {2024},
  eprint = {2404.16223},
  archivePrefix = {arXiv},
  url    = {http://arxiv.org/abs/2404.16223v1}
}

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