Spatial PixelCNN: Generating Images from Patches

Nader Akoury
Nader Akoury

arXiv: Computer Vision and Pattern Recognition, Volume abs/1712.00714, 2017.

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Abstract:

In this paper we propose Spatial PixelCNN, a conditional autoregressive model that generates images from small patches. By conditioning on a grid of pixel coordinates and global features extracted from a Variational Autoencoder (VAE), we are able to train on patches of images, and reproduce the full-sized image. We show that it not only a...More

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