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

  • 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

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

2 Citations (Scopus)

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. More detailed information about this challenge is available at https://mipi-challenge.org/MIPI2024.

Original languageEnglish
Title of host publicationProceedings - 2024 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops, CVPRW 2024
Pages1136-1143
Number of pages8
ISBN (Electronic)9798350365474
DOIs
Publication statusPublished - 2024
Externally publishedYes
Event2024 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops, CVPRW 2024 - Seattle, United States
Duration: 16 Jun 202422 Jun 2024

Publication series

NameIEEE Computer Society Conference on Computer Vision and Pattern Recognition Workshops
ISSN (Print)2160-7508
ISSN (Electronic)2160-7516

Conference

Conference2024 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops, CVPRW 2024
Country/TerritoryUnited States
CitySeattle
Period16/06/2422/06/24

Keywords

  • computational photography
  • demosaicking
  • hybridEVS

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