ResearchTrend.AI
  • Papers
  • Communities
  • Events
  • Blog
  • Pricing
Papers
Communities
Social Events
Terms and Conditions
Pricing
Parameter LabParameter LabTwitterGitHubLinkedInBlueskyYoutube

© 2025 ResearchTrend.AI, All rights reserved.

  1. Home
  2. Papers
  3. 2405.04867
24
3

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

8 May 2024
Yaqi Wu
Zhihao Fan
X. Chu
Jimmy S. Ren
Xiaoming Li
Zongsheng Yue
Chongyi Li
Shangchen Zhou
Ruicheng Feng
Yu 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
Bin 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
S. Nathan
Priya Kansal
ArXivPDFHTML
Abstract

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 Nighttime Flare Removal track on MIPI 2024. In total, 170 participants were successfully registered, and 14 teams submitted results in the final testing phase. The developed solutions in this challenge achieved state-of-the-art performance on Nighttime Flare Removal. More details of this challenge and the link to the dataset can be found at https://mipi-challenge.org/MIPI2024/.

View on arXiv
Comments on this paper