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 this https URL .
Abstract (translated)
开发并集成相机系统中的新型高级图像传感器和新型算法正在随着移动设备平台上计算摄影和成像需求的增长而变得越来越普遍。然而，缺乏高质量的研究数据以及 industry 和学术界深入交流的罕见机会限制了移动设备智能摄影和成像(MIPI)的发展。随着第一个 MIPI Workshop@ECCV 2022 的成功，我们介绍了第二个 MIPI 挑战，其中包括四个主题，专注于新型图像传感器和成像算法的开发。在本文中，我们总结了和回顾了 MIPI 2023 夜晚退色去除 track 的数据。总共有 120 名参与者成功地注册了，在最后的测试阶段有 11 个团队提交了结果。在这份挑战中开发的解决方案在夜晚退色去除方面实现了最先进的性能。本文详细介绍了所有模型在这份挑战中开发的详细描述。更多关于这份挑战和数据集的详细信息可以在 this https URL 上找到。
URL
https://arxiv.org/abs/2305.13770
