MIPI 2023 Challenge on RGBW Fusion: Methods and Results

Sun, Qianhui; Yang, Qingyu; Li, Chongyi; Zhou, Shangchen; Feng, Ruicheng; Dai, Yuekun; Sun, Wenxiu; Zhu, Qingpeng; Loy, Chen Change; Gu, Jinwei; Yu, Hongyuan; Liu, Yuqing; Yu, Weichen; Ge, Lin; Zhang, Xiaolin; Jia, Qi; Zhang, Heng; Yin, Xuanwu; Zuo, Kunlong; Wu, Qi; Lin, Wenjie; Jiang, Ting; Jiang, Chengzhi; Han, Mingyan; Li, Xinpeng; Luo, Jinting; Yu, Lei; Fan, Haoqiang; Liu, Shuaicheng; Wang, Kunyu; Cao, Chengzhi; Guan, Yuanshen; Xia, Jiyuan; Xu, Ruikang; Yao, Mingde; Xiong, Zhiwei

Qianhui Sun, Qingyu Yang, Chongyi Li, Shangchen Zhou, Ruicheng Feng, Yuekun Dai, Wenxiu Sun, Qingpeng Zhu, Chen Change Loy, Jinwei Gu, Hongyuan Yu, Yuqing Liu, Weichen Yu, Lin Ge, Xiaolin Zhang, Qi Jia, Heng Zhang, Xuanwu Yin, Kunlong Zuo, Qi Wu, Wenjie Lin, Ting Jiang, Chengzhi Jiang, Mingyan Han, Xinpeng Li, Jinting Luo, Lei Yu, Haoqiang Fan, Shuaicheng Liu, Kunyu Wang, Chengzhi Cao, Yuanshen Guan, Jiyuan Xia, Ruikang Xu, Mingde Yao, Zhiwei Xiong; Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) Workshops, 2023, pp. 2871-2877

Abstract

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 an in-depth exchange of views from industry and academia constrain the development of mobile intelligent photography and imaging (MIPI). With the success of the 1st MIPI Workshop@ECCV 2022, we introduce the second MIPI challenge, including four tracks focusing on novel image sensors and imaging algorithms. This paper summarizes and reviews the RGBW Joint Fusion and Denoise track on MIPI 2023. In total, 69 participants were successfully registered, and 4 teams submitted results in the final testing phase. The final results are evaluated using objective metrics, including PSNR, SSIM, LPIPS, and KLD. A detailed description of the 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://mipi-challenge.org/MIPI2023/.

Related Material

[pdf] [arXiv]

[bibtex]

@InProceedings{Sun_2023_CVPR, author = {Sun, Qianhui and Yang, Qingyu and Li, Chongyi and Zhou, Shangchen and Feng, Ruicheng and Dai, Yuekun and Sun, Wenxiu and Zhu, Qingpeng and Loy, Chen Change and Gu, Jinwei and Yu, Hongyuan and Liu, Yuqing and Yu, Weichen and Ge, Lin and Zhang, Xiaolin and Jia, Qi and Zhang, Heng and Yin, Xuanwu and Zuo, Kunlong and Wu, Qi and Lin, Wenjie and Jiang, Ting and Jiang, Chengzhi and Han, Mingyan and Li, Xinpeng and Luo, Jinting and Yu, Lei and Fan, Haoqiang and Liu, Shuaicheng and Wang, Kunyu and Cao, Chengzhi and Guan, Yuanshen and Xia, Jiyuan and Xu, Ruikang and Yao, Mingde and Xiong, Zhiwei}, title = {MIPI 2023 Challenge on RGBW Fusion: Methods and Results}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) Workshops}, month = {June}, year = {2023}, pages = {2871-2877} }