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Score-based diffusion models learn to reverse a stochastic differential equation that maps data to noise.
Generative modeling by estimating gradients of the data distribution
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Generalized score matching for general domains
Yu, S., Drton, M., and Shojaie, A · 2014
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Finite-time analysis of projected langevin monte carlo
Bubeck, S., Eldan, R., and Lehec, J · 2015
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Deep unsupervised learning using nonequilibrium thermodynamics
Adversarial score matching and improved sampling for image generation
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Denoising diffusion implicit models
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Diffusion models beat gans on image synthesis
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Autoregressive diffusion models
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A variational perspective on diffusion-based generative models and score matching
Huang, C.-W., Lim, J. H., and Courville, A. C · 2021
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Riemannian score-based generative modeling
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Classifier-free diffusion guidance
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Diffusion-lm improves controllable text generation
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