Developing and integrating advanced image sensors with novel algorithms in camera systems are prevalent with the increasing demand for computational photography and imaging on mobile platforms. However, the lack 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). To bridge the gap, we introduce the first MIPI challenge including five tracks focusing on novel image sensors and imaging algorithms. In this paper, we summarize and review the Under-Display Camera (UDC) Image Restoration track on MIPI 2022. In total, 167 participants were successfully registered, and 19 teams submitted results in the final testing phase. The developed solutions in this challenge achieved state-of-the-art performance on Under-Display Camera Image Restoration. A detailed description of all models developed in this challenge is provided in this paper. More details of this challenge and the link to the dataset can be found at https://github.com/mipi-challenge/MIPI2022.
@article{arxiv.2209.07052,
title = {MIPI 2022 Challenge on Under-Display Camera Image Restoration: Methods and Results},
author = {Ruicheng Feng and Chongyi Li and Shangchen Zhou and Wenxiu Sun and Qingpeng Zhu and Jun Jiang and Qingyu Yang and Chen Change Loy and Jinwei Gu},
journal= {arXiv preprint arXiv:2209.07052},
year = {2022}
}
Comments
ECCV 2022 Mobile Intelligent Photography and Imaging (MIPI) Workshop--Under-display Camera Image Restoration Challenge Report. MIPI workshop website: http://mipi-challenge.org/