MIPI 2023 Challenge on Nighttime Flare Removal: Methods and Results
원문 초록
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/ .
함께 살펴볼 논문
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Difflare: Removing Image Lens Flare with Latent Diffusion Model
MFDNet: Multi-Frequency Deflare Network for Efficient Nighttime Flare Removal
Toward Flare-Free Images: A Survey
Improving Lens Flare Removal with General Purpose Pipeline and Multiple Light Sources Recovery
Nighttime Smartphone Reflective Flare Removal Using Optical Center Symmetry Prior
Flare7K: A Phenomenological Nighttime Flare Removal Dataset
토론
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