Deep Learning, Machine Learning, Neural Networks, Computer Vision, Artificial Intelligence.
domain that do not need to be related in any way. The CycleGAN is an extension of the GAN architecture that involves the simultaneous training of two generator models and two discriminator models. One generator takes images from the first domain as input and outputs images for the second domain,