Methods › Computer Vision › Likelihood-Based Generative Models › PixelRNN

Pixel Recurrent Neural Network

PixelRNN

4 papers tagged archive 2025-07-28

Introduced by Aaron van den Oord et al. in Pixel Recurrent Neural Networks

archive 2025-07-28 Description, source and code snippet are the archive's method entry.

PixelRNNs are generative neural networks that sequentially predicts the pixels in an image along the two spatial dimensions. They model the discrete probability of the raw pixel values and encode the complete set of dependencies in the image. Variants include the Row LSTM and the Diagonal BiLSTM, that scale more easily to larger datasets. Pixel values are treated as discrete random variables by using a softmax layer in the conditional distributions. Masked convolutions are employed to allow PixelRNNs to model full dependencies between the color channels.

PaperSourceSee Code · carpedm20/pixel-rnn-tensorflow

Papers archive 2025-07-28

4 shown of 4, newest first. Repository counts are the archive's code-links table. A Syntology line states what Syntology ran from that paper's harvested code; it is per sample and not a correctness claim.

Tasks archive 2025-07-28

10 tasks the archive attaches to papers tagged with this method, by distinct papers. A task without a page in the catalog is plain text.

TaskPapers
Decoder2
Image Generation2
Conditional Image Generation1
Density Estimation1
Descriptive1
Gesture Recognition1
Hand Gesture Recognition1
Hand-Gesture Recognition1
Image Compression1
Lip Reading1

Usage over time archive 2025-07-28

Papers per year tagged with PixelRNN: 2016 to 2023, peak 3 3 0 2016: 3 papers 2016 2017: 0 papers 2017 2018: 0 papers 2018 2019: 0 papers 2019 2020: 0 papers 2020 2021: 0 papers 2021 2022: 0 papers 2022 2023: 1 paper 2023
Papers per year the archive tags with this method, by the paper's archive date (4 dated). Bars are counts, not a trend claim.

Components: the archive holds no method-to-method composition, so PwC's Components table cannot be rebuilt; the Papers list carries no Results column for the same reason (the archive does not join its leaderboard rows to method tags).

Categories archive 2025-07-28

Likelihood-Based Generative ModelsGenerative Models

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