The increasing demand for computational photography and imaging on mobile platforms has led to the widespread development and integration of advanced image sensors with novel algorithms in camera systems. However, the scarcity of high-quality data for research and the rare opportunity for in-depth exchange of views from industry and academia constrain the development of mobile intelligent photography and imaging (MIPI). Building on the achievements of the previous MIPI Workshops held at ECCV 2022 and CVPR 2023, we introduce our third MIPI challenge including three tracks focusing on novel image sensors and imaging algorithms. In this paper, we summarize and review the Few-shot RAW Image Denoising track on MIPI 2024. In total, 165 participants were successfully registered, and 7 teams submitted results in the final testing phase. The developed solutions in this challenge achieved state-of-the-art erformance on Few-shot RAW Image Denoising. More details of this challenge and the link to the dataset can be found at https://mipichallenge.org/MIPI2024.
@article{arxiv.2406.07006,
title = {MIPI 2024 Challenge on Few-shot RAW Image Denoising: Methods and Results},
author = {Xin Jin and Chunle Guo and Xiaoming Li and Zongsheng Yue and Chongyi Li and Shangchen Zhou and Ruicheng Feng and Yuekun Dai and Peiqing Yang and Chen Change Loy and Ruoqi Li and Chang Liu and Ziyi Wang and Yao Du and Jingjing Yang and Long Bao and Heng Sun and Xiangyu Kong and Xiaoxia Xing and Jinlong Wu and Yuanyang Xue and Hyunhee Park and Sejun Song and Changho Kim and Jingfan Tan and Wenhan Luo and Zikun Liu and Mingde Qiao and Junjun Jiang and Kui Jiang and Yao Xiao and Chuyang Sun and Jinhui Hu and Weijian Ruan and Yubo Dong and Kai Chen and Hyejeong Jo and Jiahao Qin and Bingjie Han and Pinle Qin and Rui Chai and Pengyuan Wang},
journal= {arXiv preprint arXiv:2406.07006},
year = {2024}
}
Comments
CVPR 2024 Mobile Intelligent Photography and Imaging (MIPI) Workshop--Few-shot RAWImage Denoising Challenge Report. Website: https://mipi-challenge.org/MIPI2024/