GCGAN is a Deep Convolutional Generative Adversarial Network created by Alec Radford, Luke Metz and Soumith Chintala in 2016 to train Deep Generative Adversarial Networks. In the DCGAN paper, the authors trained the network to produce fake faces of celebrities and fake bedroom images.
The architecture consists of two networks - Generator and Discriminator. Generator is the heart of GANs. It produces real looking fake images from random noise.
Image from the paper