VQ-DRAW: A Sequential Discrete VAE
2020-03-03Code Available1· sign in to hype
Alex Nichol
Code Available — Be the first to reproduce this paper.
ReproduceCode
- github.com/unixpickle/vq-drawOfficialpytorch★ 41
Abstract
In this paper, I present VQ-DRAW, an algorithm for learning compact discrete representations of data. VQ-DRAW leverages a vector quantization effect to adapt the sequential generation scheme of DRAW to discrete latent variables. I show that VQ-DRAW can effectively learn to compress images from a variety of common datasets, as well as generate realistic samples from these datasets with no help from an autoregressive prior.