GANs vs. Autoencoders: Comparison of Deep Generative Models | by Matthew Stewart | Towards Data Science
Generative Modeling with Variational Auto Encoder (VAE) | by Fathy Rashad | ViTrox-Publication | Medium
Generative adversarial networks (GAN) based efficient sampling of chemical composition space for inverse design of inorganic materials | npj Computational Materials
convolutional neural networks - What makes GAN or VAE better at image generation than NN that directly maps inputs to images - Artificial Intelligence Stack Exchange
In (a), a Variational AutoEncoder (VAE) scheme with the mean and... | Download Scientific Diagram
Examples of generative models. From top to bottom: Variational... | Download Scientific Diagram
Review — VAE-GAN: Autoencoding beyond pixels using a learned similarity metric | by Sik-Ho Tsang | Medium
Going Beyond GAN? New DeepMind VAE Model Generates High Fidelity Human Faces | Synced