PixelVAE++ improves generative models for natural images by combining VAE and PixelCNN.
problem Challenges in constructing powerful generative models for natural images.
method Introduces PixelVAE++, a VAE with three types of latent variables and a PixelCNN++ for the decoder, reusing a part of the decoder as an encoder.
result Achieves state-of-the-art performance on binary data sets and CIFAR-10.