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Score-Based Generative Modeling through Stochastic Differential Equations

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Abstract

Creating noise from data is easy; creating data from noise is generative modeling. We present a stochastic differential equation (SDE) that smoothly transforms a complex data distribution to a known prior distribution by slowly injecting noise, and a corresponding reverse-time SDE that transforms the prior distribution back into the data distribution by slowly removing the noise... (read more)

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https://openreview.net/pdf?id=PxTIG12RRHS

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