Deep RAW Image Super-Resolution A NTIRE 2024 Challenge Survey
<|reference_start|>Deep RAW Image Super-Resolution A NTIRE 2024 Challenge Survey: 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.<|reference_end|>
@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},
    journal={arXiv preprint arXiv:2404.16223},
    year={2024},
    archivePrefix={arXiv},
    eprint={2404.16223},
    primaryClass={cs.CV eess.IV}
}