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Score-based generative models can produce high quality image samples comparable to GANs, without requiring adversarial optimization.
Exponential convergence of langevin distributions and their discrete approximations
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A style-based generator architecture for generative adversarial networks
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Adversarial score matching and improved sampling for image generation
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