NVAE is a deep hierarchical variational autoencoder that enables training SOTA likelihood-based generative models on several image datasets. Above, the images will be ...

SVG Autoencoder - Uses a frozen representation encoder with a residual branch to compensate the information loss and a learned convolutional decoder to transfer the SVG latent space to pixel space.