mariapushkareva/Claude-Monet-Paintings-with-GANs

Generative adversarial networks (GANs), introduced in 2014 by Goodfellow, are for learning latent spaces of images. They enable the generation of fairly realistic synthetic images by forcing the generated images to be statistically almost indistinguishable from real ones