Conditional Image Generation with PixelCNN Decoders

NeurIPS 2016 Aaron van den OordNal KalchbrennerOriol VinyalsLasse EspeholtAlex GravesKoray Kavukcuoglu

This work explores conditional image generation with a new image density model based on the PixelCNN architecture. The model can be conditioned on any vector, including descriptive labels or tags, or latent embeddings created by other networks... (read more)

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Results from the Paper


TASK DATASET MODEL METRIC NAME METRIC VALUE GLOBAL RANK RESULT LEADERBOARD
Image Generation CIFAR-10 Gated PixelCNN NLL Test 3.03 # 6
Image Generation ImageNet 64x64 Gated PixelCNN (van den Oord et al., [2016c]) Bits per dim 3.57 # 4