MIPI 2024 Challenge on Nighttime Flare Removal: Methods and Results

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.

Cite

Text

Dai et al. "MIPI 2024 Challenge on Nighttime Flare Removal: Methods and Results." IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops, 2024. doi:10.1109/CVPRW63382.2024.00121

Markdown

[Dai et al. "MIPI 2024 Challenge on Nighttime Flare Removal: Methods and Results." IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops, 2024.](https://mlanthology.org/cvprw/2024/dai2024cvprw-mipi/) doi:10.1109/CVPRW63382.2024.00121

BibTeX

@inproceedings{dai2024cvprw-mipi,
  title     = {{MIPI 2024 Challenge on Nighttime Flare Removal: Methods and Results}},
  author    = {Dai, Yuekun and Zhang, Dafeng and Li, Xiaoming and Yue, Zongsheng and Li, Chongyi and Zhou, Shangchen and Feng, Ruicheng and Yang, Peiqing and Jin, Zhezhu and Liu, Guanqun and Loy, Chen Change},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops},
  year      = {2024},
  pages     = {1144-1152},
  doi       = {10.1109/CVPRW63382.2024.00121},
  url       = {https://mlanthology.org/cvprw/2024/dai2024cvprw-mipi/}
}