Why I Stopped Using GAN — ECCV 2020

GAN — vs — Normalizing Flow

The benefits of Normalizing Flow. In this article, we show how we outperformed GAN with Normalizing Flow. We do that based on the application super-resolution. There we describe SRFlow, a super-resolution method that outperforms state-of-the-art GAN approaches. We explain it in detail in our ECCV 2020 paper.

Intuition for Conditional Normalizing Flow. We train a Normalizing Flow model to transform an image into a gaussian latent space. During inference, we sample a random gaussian vector to…