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We propose a new "Poisson flow" generative model (PFGM) that maps a uniform distribution on a high-dimensional hemisphere into any data distribution.
A family of embedded runge-kutta formulae
J. R. Dormand and P. J. Prince · 1980
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Fokker-planck equation
Hannes Risken · 1984
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Some practical runge-kutta formulas
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A modern introduction to differential equations
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Introduction to electrodynamics, 2005
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Cifar-10 (canadian institute for advanced research)
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Semi-supervised learning with deep generative models
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Auto-encoding variational bayes
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Improved training of wasserstein gans
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A style-based generator architecture for generative adversarial networks
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Generative modeling by estimating gradients of the data distribution
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Language models are few-shot learners
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Spectral normalization for generative adversarial networks
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Jonathan Ho, Ajay Jain, and P. Abbeel · 2020
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Training generative adversarial networks with limited data
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Improved techniques for training score-based generative models
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Diffusion models beat gans on image synthesis
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Semantic segmentation with generative models: Semi-supervised learning and strong out-of-domain generalization
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Score-based generative modeling through stochastic differential equations
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