Face Aging with CycleGAN

This repository is the final result of the project on Machine Learning and the Applications at Yonsei University.

Unpaired Image to Image Transition

Source: Unpaired Image-to-Image Translation using Cycle-Consistent Adversarial Networks

The previous image-to-image translation such as Pix2Pix learns the mapping between an input image and an output image with a set of aligned image pairs. However, for many tasks, paired training dataset is unavailable. CycleGAN solves this issue by learning to translate an image from a source domain X to a target domain Y in the absence of paired examples.