Image-to-Image Translation

Image-to-Image Translation is a task in computer vision and machine learning where the goal is to learn a mapping between an input image and an output image, such that the output image can be used to perform a specific task, such as style transfer, data augmentation, or image restoration.

( Image credit: Unpaired Image-to-Image Translation using Cycle-Consistent Adversarial Networks )