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Likelihood-Based Generative Models

7 methods 310 papers tagged archive 2025-07-28

Generative Models aim to model data generatively (rather than discriminatively), that is they aim to approximate the probability distribution of the data. Below you can find a continuously updating list of generative models for computer vision.

Methods

All 7 methods in this collection, most-tagged first. Year is the archive's introduced_year; the archive stores 2000 when it has none, shown here as “–”. Papers counts distinct papers the archive tags with the method. Click a heading to sort.

VQ-VAE – 197
PixelCNN – 45
Beta-VAE – 30
NICE Non-linear Independent Component Estimation – 22
RealNVP – 19
VQ-VAE-2 – 7
PixelRNN Pixel Recurrent Neural Network – 4