Corpus ID: 15624550

Latent Variable PixelCNNs for Natural Image Modeling

@inproceedings{Kolesnikov2016LatentVP,
  title={Latent Variable PixelCNNs for Natural Image Modeling},
  author={Alexander Kolesnikov and Christoph H. Lampert},
  year={2016}
}
We study probabilistic models of natural images and extend the autoregressive family of PixelCNN models by incorporating latent variables. Subsequently, we describe two new generative image models that exploit different image transformations as latent variables: a quantized grayscale view of the image or a multi-resolution image pyramid. The proposed models tackle two known shortcomings of existing PixelCNN models: 1) their tendency to focus on low-level image details, while largely ignoring… Expand
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