MIPI 2024 Challenge on Demosaic for Hybridevs Camera: Methods and Results

Wu, Yaqi; Fan, Zhihao; Chu, Xiaofeng; Ren, Jimmy S.; Li, Xiaoming; Yue, Zongsheng; Li, Chongyi; Zhou, Shangcheng; Feng, Ruicheng; Dai, Yuekun; Yang, Peiqing; Loy, Chen Change; Xu, Senyan; Sun, Zhijing; Zhu, Jiaying; Zhu, Yurui; Fu, Xueyang; Zha, Zheng-Jun; Cao, Jun; Li, Cheng; Chen, Shu; Ma, Liang; Zhou, Shiyang; Zeng, Haijin; Feng, Kai; Chen, Yongyong; Su, Jingyong; Guan, Xianyu; Yu, Hongyuan; Wan, Cheng; Lin, Jiamin; Han, Binnan; Zou, Yajun; Wu, Zhuoyuan; Huang, Yuan; Yu, Yongsheng; Zhang, Daoan; Li, Jizhe; Yin, Xuanwu; Zuo, Kunlong; Lu, Yunfan; Xu, Yijie; Ma, Wenzong; Guo, Weiyu; Xiong, Hui; Yu, Wei; Luo, Bingchun; Nathan, Sabari; Kansal, Priya

Yaqi Wu, Zhihao Fan, Xiaofeng Chu, Jimmy S. Ren, Xiaoming Li, Zongsheng Yue, Chongyi Li, Shangcheng Zhou, Ruicheng Feng, Yuekun Dai, Peiqing Yang, Chen Change Loy, Senyan Xu, Zhijing Sun, Jiaying Zhu, Yurui Zhu, Xueyang Fu, Zheng-Jun Zha, Jun Cao, Cheng Li, Shu Chen, Liang Ma, Shiyang Zhou, Haijin Zeng, Kai Feng, Yongyong Chen, Jingyong Su, Xianyu Guan, Hongyuan Yu, Cheng Wan, Jiamin Lin, Binnan Han, Yajun Zou, Zhuoyuan Wu, Yuan Huang, Yongsheng Yu, Daoan Zhang, Jizhe Li, Xuanwu Yin, Kunlong Zuo, Yunfan Lu, Yijie Xu, Wenzong Ma, Weiyu Guo, Hui Xiong, Wei Yu, Bingchun Luo, Sabari Nathan, Priya Kansal; Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) Workshops, 2024, pp. 1136-1143

Abstract

The rising demand for computational photography on mobile devices drives development of advanced image sensors and algorithms for camera systems. But the lack of opportunities for in-depth exchange between industry and academia are constraining the development of Mobile Intelligent Photography and Imaging (MIPI). Building on the successes of the prior MIPI Workshops at ECCV 2022 and CVPR 2023 we are pleased to introduce our third MIPI challenge which includes three tracks focusing on novel image sensors and imaging algorithms. In this paper we summarize and review the Demosaic for Hybridevs Camera track on MIPI 2024. A total of 110 participants from both industrial and academic backgrounds contributed many valuable solutions to address the difficulty of the restoration of HybridEVS's raw data thus raising the reconstructed performance to a new height. This paper gives a comprehensive description and analysis of all solutions developed during this challenge.

Related Material

[pdf] [arXiv]

[bibtex]

@InProceedings{Wu_2024_CVPR, author = {Wu, Yaqi and Fan, Zhihao and Chu, Xiaofeng and Ren, Jimmy S. and Li, Xiaoming and Yue, Zongsheng and Li, Chongyi and Zhou, Shangcheng and Feng, Ruicheng and Dai, Yuekun and Yang, Peiqing and Loy, Chen Change and Xu, Senyan and Sun, Zhijing and Zhu, Jiaying and Zhu, Yurui and Fu, Xueyang and Zha, Zheng-Jun and Cao, Jun and Li, Cheng and Chen, Shu and Ma, Liang and Zhou, Shiyang and Zeng, Haijin and Feng, Kai and Chen, Yongyong and Su, Jingyong and Guan, Xianyu and Yu, Hongyuan and Wan, Cheng and Lin, Jiamin and Han, Binnan and Zou, Yajun and Wu, Zhuoyuan and Huang, Yuan and Yu, Yongsheng and Zhang, Daoan and Li, Jizhe and Yin, Xuanwu and Zuo, Kunlong and Lu, Yunfan and Xu, Yijie and Ma, Wenzong and Guo, Weiyu and Xiong, Hui and Yu, Wei and Luo, Bingchun and Nathan, Sabari and Kansal, Priya}, title = {MIPI 2024 Challenge on Demosaic for Hybridevs Camera: Methods and Results}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) Workshops}, month = {June}, year = {2024}, pages = {1136-1143} }