A Brief Introduction to Deep Generative Models

Speaker: Stéphane Lathuilière () Abstract: This video is a brief introduction to deep generative models. In this tutorial, we are going to present several computer vision methods for image and video generation or manipulation. The goal of this presentation is not to provide a complete review of the literature about deep generative models, but rather to briefly introduce the key methods that will be employed in most of the methods presented in this tutorial. Papers: [1] Generative Adversarial Networks, Neurips 2014 , [2] Auto-Encoding Variational Bayes, ICLR 2014, [3] Least Squares Generative Adversarial Networks, ICCV 2017, [4] Wasserstein generative adversarial networks, ICML 2017, [5] Spectral Normalization for Generative Adversarial Networks, ICLR 2018, [6] Large Scale GAN Training