PixelVAE: A Latent Variable Model for Natural Images

15 Nov 2016Ishaan GulrajaniKundan KumarFaruk AhmedAdrien Ali TaigaFrancesco VisinDavid VazquezAaron Courville

Natural image modeling is a landmark challenge of unsupervised learning. Variational Autoencoders (VAEs) learn a useful latent representation and model global structure well but have difficulty capturing small details... (read more)

PDF Abstract

Code


No code implementations yet. Submit your code now

Tasks


Results from the Paper


  Submit results from this paper to get state-of-the-art GitHub badges and help the community compare results to other papers.

Methods used in the Paper