  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/ .
