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Many existing conditional score-based data generation methods utilize Bayes' theorem to decompose the gradients of a log posterior density into a mixture of scores.
On estimation of a probability density function and mode
E. Parzen · 1962
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Exponential convergence of Langevin distributions and their discrete approximations
G. O Roberts and R. L. Tweedie · 1996
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Optimal scaling of discrete approximations to langevin diffusions
G. O Roberts and J. S Rosenthal · 1998
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Estimation of non-normalized statistical models by score matching
A. Hyvärinen · 2005
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Learning multiple layers of features from tiny images
A. Krizhevsky, G. Hinton, et al · 2009
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A connection between score matching and denoising autoencoders
P. Vincent · 2011
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Bayesian learning via stochastic gradient langevin dynamics
M. Welling and Y. W Teh · 2011
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Deep residual learning for image recognition
Kaiming He, Xiangyu Zhang, Shaoqing Ren, and Jian Sun · 2016
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GANs trained by a two time-scale update rule converge to a local nash equilibrium
M. Heusel, H. Ramsauer, T. Unterthiner, B. Nessler, and S. Hochreiter · 2017
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Plug & play generative networks: Conditional iterative generation of images in latent space
A. Nguyen, J. Clune, Y. Bengio, A. Dosovitskiy, and J. Yosinski · 2017
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S. Barratt and R. Sharma · 2018
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Improved precision and recall metric for assessing generative models
T. Kynkäänniemi, T. Karras, S. Laine, J. Lehtinen, and T. Aila · 2019
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Classification accuracy score for conditional generative models
Sliced score matching: A scalable approach to density and score estimation
Y. Song, S. Garg, J. Shi, and S. Ermon · 2019
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Denoising diffusion probabilistic models
J. Ho, A. Jain, and P. Abbeel · 2020
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Source separation with deep generative priors
V. Jayaram and J. Thickstun · 2020
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Reliable fidelity and diversity metrics for generative models
M. F. Naeem, S. J. Oh, Y. Uh, Y. Choi, and J. Yoo · 2020
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Improved techniques for training score-based generative models
Y. Song and S. Ermon · 2020
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Diffusion models beat GANs on image synthesis
P. Dhariwal and A. Nichol · 2021
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S. Ravuri and O. Vinyals · 2019
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Generative modeling by estimating gradients of the data distribution
Y. Song and S. Ermon · 2019
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Denoising diffusion implicit models
J. Song, C. Meng, and S. Ermon
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Score-based generative modeling through stochastic differential equations
Y. Song, Jascha S.-D., Diederik P K., Abhishek K., Stefano E., and Ben P
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Cascaded diffusion models for high fidelity image generation
J. Ho, Chitwan S., W. Chan, D. Fleet, M. Norouzi, and T. Salimans · 2021
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