Machine Learning, Deep Learning, Generative Model, Adversarial Network, Autoencoder.
don’t deal with any explicit probability density estimation. The failure of VAE in generating sharp images implies that the model is not able to learn the true posterior distribution. VAE and GAN mainly differ in the way of training. Let’s now dive into Generative Adversarial Networks. Generative