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Rain is transparent, which reflects and refracts light in the scene to thecamera. In outdoor vision, rain, especially rain streaks degrade visibility andtherefore 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 particularlyserious in night scenes, where the appearance of rain largely depends on theinteraction with scene illuminations and changes drastically on differentpositions within the image. This is problematic, because unrealistic datasetcauses serious domain bias. In this paper, we propose GTAV-NightRain dataset,which is a large-scale synthetic night-time rain streak removal dataset. Unlikeexisting datasets, by using 3D computer graphic platform (namely GTA V), we areallowed to infer the three dimensional interaction between rain andilluminations, which insures the photometric realness. Current release of thedataset contains 12,860 HD rainy images and 1,286 corresponding HD ground truthimages in diversified night scenes. A systematic benchmark and analysis areprovided along with the dataset to inspire further research.

GTAV-NightRain: Photometric Realistic Large-scale Dataset for Night-time Rain Streak Removal