The StyleGAN is a unique attempt by researchers to introduce some structure to the workings of the generator model. It draws from traditional style transfer literature and deals with a learned concept of “style”, which is the focus of the operations within the generator model. Let’s see how this works in practice....
In my previous article, I covered the Vector Quantized Variational Auto Encoder, or the VQ-VAE. In line with my previous series, this time we’ll cover an advanced generative AI model that falls into the family of Generative Adversarial Networks - otherwise known as GANs. This article explores an extension to the traditional GAN known as the Progressive GAN or ProGAN. The ProGAN uses a progressi...
Originally proposed in 2017, the vector quantized variational autoencoder (VQ-VAE) builds on top of the fundamental backbone of the VAE. If you’d like a review of the concepts behind the VAE, you can check out my earlier article here - for this article I’ll only provide a quick review before going through the theory. The VQ-VAE addresses some fundamental problems with the VAE. First, the VQ-VAE...