pixels (PixelCNN) that is conditioned on a latent code, and the recognition path uses a generative adversarial network (GAN) to impose a prior distribution on the

In this paper, we describe the "PixelGAN autoencoder", a generative autoencoder Both networks are jointly trained to maximize a variational lower bound on the data log-likelihood. Section 2.1, we show that by imposing a Gaussian distribution on the latent code, we can achieve a global vs. local decomposition of information.