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      "statement": "# van den Oord and colleagues: conditional PixelCNN decoders\n\nDeveloped a conditional PixelCNN decoder with gated convolutional layers for image generation and autoencoder decoding.\n\n## Scientific scope\n\nThis 2016 conditional PixelCNN paper is not the original PixelRNN or an invention of autoregressive density modeling.\n\n## Reading status\n\nThis is a source-linked WRS catalogue note. A full explanatory guide and independent scientific reconstruction have not been completed for this entry. Read the identified original work for its complete narrative and arguments.\n\n## People and systems\n\nAaron van den Oord; Nal Kalchbrenner; Oriol Vinyals; Lasse Espeholt; Alex Graves; Koray Kavukcuoglu\n\nComplete named paper byline. Human research, source-reported system execution and experimental validation are distinct; individual effort shares are not measured.\n\n\n\n## Original sources\n\n- [van den Oord and colleagues: conditional PixelCNN decoders — original paper](https://arxiv.org/abs/1606.05328v2)\n- [van den Oord and colleagues: conditional PixelCNN decoders — official company source](https://research.google/pubs/conditional-image-generation-with-pixelcnn-decoders/)\n",
      "summary": "Developed a conditional PixelCNN decoder with gated convolutional layers for image generation and autoencoder decoding.",
      "title": "van den Oord and colleagues: conditional PixelCNN decoders"
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