Generative Adversarial Networks Projects

An introduction to CycleGANs

To turn photos into paintings or paintings, into photos, normal GANs require a pair of images. A CycleGAN is a type of GAN network that can translate an image from one domain X, to another domain Y, without the need for paired images. A CycleGAN tries to learn a generator network, which, in turn, learns two mappings. Instead of training a single generator network used in most of the GANs, CycleGANs train two generator and two discriminator networks.

There are two generator networks in a CycleGAN, which are as follows:

1. Generator A: Learns a mapping , where X is the source domain and Y is the target domain. It takes ...