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.
@article{arxiv.2403.12327,
title = {GT-Rain Single Image Deraining Challenge Report},
author = {Howard Zhang and Yunhao Ba and Ethan Yang and Rishi Upadhyay and Alex Wong and Achuta Kadambi and Yun Guo and Xueyao Xiao and Xiaoxiong Wang and Yi Li and Yi Chang and Luxin Yan and Chaochao Zheng and Luping Wang and Bin Liu and Sunder Ali Khowaja and Jiseok Yoon and Ik-Hyun Lee and Zhao Zhang and Yanyan Wei and Jiahuan Ren and Suiyi Zhao and Huan Zheng},
journal= {arXiv preprint arXiv:2403.12327},
year = {2024}
}