  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.
