Parallel Multiscale Autoregressive Density Estimation

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... (read more)

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Results from the Paper


TASK DATASET MODEL METRIC NAME METRIC VALUE GLOBAL RANK RESULT BENCHMARK
Image Compression ImageNet32 MS-PixelCNN bpsp 3.95 # 1
Image Generation ImageNet 64x64 Parallel Multiscale Bits per dim 3.7 # 6

Methods used in the Paper


METHOD TYPE
PixelCNN
Generative Models