In this post, I will review a popular class of generative models called variational autoencoders (VAEs). Since the literature on this topic is vast, I will only focus on presenting a few points which I think are important. In the future, I will write a few more blogs to explain some of the representative works in detail.

In this post, I will review and only review the model proposed in the following paper: InfoGAN: Interpretable Representation Learning by Information Maximizing Generative Adversarial Nets.