Dataset Groups Activity Stream CycleGAN The dataset used for training the proposed Underwater GAN (UGAN) model, which consists of paired images of underwater scenes with and without distortion. BibTex: @dataset{Ning_Xu_and_Zhuang_Liu_and_Richard_Zhang_and_Taesung_Park_and_Antonio_Torralba_2024, abstract = {The dataset used for training the proposed Underwater GAN (UGAN) model, which consists of paired images of underwater scenes with and without distortion.}, author = {Ning Xu and Zhuang Liu and Richard Zhang and Taesung Park and Antonio Torralba}, doi = {10.57702/7yrpj5nz}, institution = {No Organization}, keyword = {'Conditional Generative Adversarial Networks', 'CycleGAN', 'Generative Adversarial Networks', 'Image Translation', 'Image-to-Image Translation', 'distortion correction', 'image-to-image translation', 'underwater images'}, month = {dec}, publisher = {TIB}, title = {CycleGAN}, url = {https://service.tib.eu/ldmservice/dataset/cyclegan}, year = {2024} }