These networks, which can be seen as variational autoencoders with a flexible latent prior, are smaller and easier to train than state-of-the-art generative models. As a second contribution, we ...

We present a general learning framework which combine a deep convolutional GANs network with a variational autoencoder network. To begin with, we found a solution which could solve the problem that ...