MIPI 2023 Challenge on Nighttime Flare Removal: Methods and Results

Yuekun Dai, Chongyi Li, Shangchen Zhou, Ruicheng Feng, Qingpeng Zhu +4 more
5/23/2023
cs.CVeess.IV

No confident code implementation found for this paper.

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 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. In this paper, we summarize and review the Nighttime Flare Removal track on MIPI 2023. In total, 120 participants were successfully registered, and 11 teams submitted results in the final testing phase. The developed solutions in this challenge achieved state-of-the-art performance on Nighttime Flare Removal. 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://mipi-challenge.org/MIPI2023/ .

View on arXivView PDF

Code Implementations

No confident code match yet

We couldn't find an author-owned or strongly-evidenced community implementation for this paper. Any repos shown below are weak matches — verify before relying on them.

No code implementations found yet.

Know of an implementation? Let us know in the comments below!

Similar Papers

Cite this paper

@article{dai2023mipi,
  title  = {MIPI 2023 Challenge on Nighttime Flare Removal: Methods and Results},
  author = {Yuekun Dai and Chongyi Li and Shangchen Zhou and Ruicheng Feng and Qingpeng Zhu and Qianhui Sun and Wenxiu Sun and Chen Change Loy and Jinwei Gu},
  year   = {2023},
  eprint = {2305.13770},
  archivePrefix = {arXiv},
  url    = {http://arxiv.org/abs/2305.13770v1}
}

Add a badge to your README

Shows whether official code is linked for this paper.

Code of Paper badge
[![Code of Paper](https://codeofpaper.com/badge/2305.13770.svg)](https://codeofpaper.com/paper/2305.13770)

Discussion