GT-Rain Single Image Deraining Challenge Report
Howard Zhang
Yunhao Ba
Ethan Yang
Rishi Upadhyay
Alex Wong
A. Kadambi
Yun Guo
Xu Xiao
Xiao-Xu Wang
Yi Li
Yi Chang
Luxin Yan
Chaochao Zheng
Luping Wang
Bin Liu
Sunder Ali Khowaja
Jiseok Yoon
I. Lee
Zhao Zhang
Yanyan Wei
Jiahuan Ren
Suiyi Zhao
Huan Zheng

Abstract
This report reviews the results of the GT-Rain challenge on single image deraining at the UG2+ workshop at CVPR 2023. The aim of this competition is to study the rainy weather phenomenon in real world scenarios, provide a novel real world rainy image dataset, and to spark innovative ideas that will further the development of single image deraining methods on real images. Submissions were trained on the GT-Rain dataset and evaluated on an extension of the dataset consisting of 15 additional scenes. Scenes in GT-Rain are comprised of real rainy image and ground truth image captured moments after the rain had stopped. 275 participants were registered in the challenge and 55 competed in the final testing phase.
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