- tags
- Neural networks
Variational autoencoders (VAEs) are a type of generative Autoencoders.
VAEs vs. GANs
VAEs have fallen out of fashion when GANs became popular, because they were able to get visually interesting results more easily. However, some works a few years later seem to show that they have similar potential (Vahdat and Kautz 2020).
Bibliography
Vahdat, Arash, and Jan Kautz. July 2020. “NVAE: A Deep Hierarchical Variational Autoencoder”. arXiv:2007.03898 [Cs, Stat], July.