- 论文:Autoencoding beyond pixels usingALearnedSimilarityMmetric
How does a VAE-GAN work?
- We have three networks, an Encoder, a Generator, and a Discriminator.
- The Encoder learns to map input x onto z space (latent space)
- The Generator learns to generate x from z space
- The Discriminator learns to discriminate whether the image being put in is real, or generated