Flow matching decouples generative modeling from noise process
CSProfKGD · x · 2026-08-27
One of the strengths of flow matching is that it decouples generative modeling from a specific noise process and choice of source distribution. You can select from a variety of initial distributions like a Gaussian or a uniform distribution and still train a valid flow model.
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