Statements (29)
| Predicate | Object | 
|---|---|
| gptkbp:instanceOf | gptkb:deep_generative_model | 
| gptkbp:approach | modeling joint distribution of pixels | 
| gptkbp:architecture | autoregressive model | 
| gptkbp:basedOn | gptkb:convolutional_neural_network | 
| gptkbp:citation | high | 
| gptkbp:developedBy | gptkb:Koray_Kavukcuoglu gptkb:Aaron_van_den_Oord gptkb:Nal_Kalchbrenner | 
| gptkbp:field | gptkb:machine_learning computer vision | 
| gptkbp:improves | Gated PixelCNN PixelCNN++ | 
| gptkbp:influenced | gptkb:WaveNet Image Transformer | 
| gptkbp:input | images | 
| gptkbp:notablePublication | Conditional Image Generation with PixelCNNs Pixel Recurrent Neural Networks | 
| gptkbp:openSource | gptkb:GitHub | 
| gptkbp:output | images | 
| gptkbp:platform | gptkb:TensorFlow gptkb:PyTorch | 
| gptkbp:prohibits | causal convolutions | 
| gptkbp:publishedIn | 2016 | 
| gptkbp:relatedTo | PixelRNN | 
| gptkbp:usedFor | density estimation image generation | 
| gptkbp:bfsParent | gptkb:Aaron_van_den_Oord | 
| gptkbp:bfsLayer | 7 | 
| https://www.w3.org/2000/01/rdf-schema#label | PixelCNN |