Deep RAW Image Super-Resolution. A NTIRE 2024 Challenge Survey
Marcos V. Conde
Florin-Alexandru Vasluianu
Radu Timofte
Jianxing Zhang
Jia Li
Fan Wang
Xiaopeng Li
Zikun Liu
Hyunhee Park
Sejun Song
Changho Kim
Zhi-Qiu Huang
Hongyuan Yu
Cheng Wan
Wending Xiang
Jiamin Lin
Hang Zhong
Qiaosong Zhang
Yue Sun
Xuanwu Yin
Kunlong Zuo
Senyan Xu
Siyuan Jiang
Zhijing Sun
Jiaying Zhu
Liangyan Li
Ke Chen
Yunzhe Li
Yi Ning
Guanhua Zhao
Jun Chen
Jinyang Yu
Kele Xu
Qisheng Xu
Yong Dou

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.
View on arXivComments on this paper