论文标题
gtav-nightrain：光度逼真的大规模数据集，用于夜间降雨胜地
GTAV-NightRain: Photometric Realistic Large-scale Dataset for Night-time Rain Streak Removal
论文作者
论文摘要
雨是透明的，它反映并折射了相机中的光线。在户外视力中，雨水，尤其是雨条降低了可见性，因此需要删除。在现有的降雨删除数据集中，尽管已经考虑了密度，规模，方向和强度，但透明度尚未完全考虑到透明度。这个问题在夜面场景中尤其严重，雨水的出现在很大程度上取决于与场景照明的互动，并且在图像中的不同位置上发生了巨大变化。这是有问题的，因为不现实的数据集会导致严重的域偏差。在本文中，我们提出了GTAV-NIGHTRAIN数据集，这是一个大规模合成的夜间降雨删除数据集。与现有的数据集不同，通过使用3D计算机图形平台（即GTA V），我们可以推断雨水和照明之间的三维相互作用，从而确保了光度现实。该数据集的当前发布包含12,860个高清雨图像和1,286个相应的HD地面真相图像，在多元化的夜景中。提供系统的基准和分析以及数据集，以激发进一步的研究。
Rain is transparent, which reflects and refracts light in the scene to the camera. In outdoor vision, rain, especially rain streaks degrade visibility and therefore need to be removed. In existing rain streak removal datasets, although density, scale, direction and intensity have been considered, transparency is not fully taken into account. This problem is particularly serious in night scenes, where the appearance of rain largely depends on the interaction with scene illuminations and changes drastically on different positions within the image. This is problematic, because unrealistic dataset causes serious domain bias. In this paper, we propose GTAV-NightRain dataset, which is a large-scale synthetic night-time rain streak removal dataset. Unlike existing datasets, by using 3D computer graphic platform (namely GTA V), we are allowed to infer the three dimensional interaction between rain and illuminations, which insures the photometric realness. Current release of the dataset contains 12,860 HD rainy images and 1,286 corresponding HD ground truth images in diversified night scenes. A systematic benchmark and analysis are provided along with the dataset to inspire further research.
