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
|