PixelCNN
PixelCNN
A **PixelCNN** is a generative model that uses autoregressive connections to model images pixel by pixel, decomposing the joint image distribution as a product of conditionals. PixelCNNs are much faster to train than [PixelRNNs](https://paperswithcode.com/method/pixelrnn) because convolutions are inherently easier to parallelize; given the vast number of pixels present in large image datasets this is an important advantage.
Pixel Recurrent Neural Networks
https://paperswithcode.com/paper/pixel-recurrent-neural-networks
Pixel Recurrent Neural Networks