Parallel Multiscale Autoregressive Density Estimation

ICML, pp. 2912-2921, 2017.

Cited by: 99|Bibtex|Views139|Links
EI

Abstract:

PixelCNN achieves state-of-the-art results in density estimation for natural images. Although training is fast, inference is costly, requiring one network evaluation per pixel; O(N) for N pixels. This can be sped up by caching activations, but still involves generating each pixel sequentially. In this work, we propose a parallelized Pixel...More

Code:

Data:

Your rating :
0

 

Tags
Comments