Generative Models

Conditional / Rectified flow matching

Introduced by Lipman et al. in Flow Matching for Generative Modeling

Conditional Flow Matching (CFM) is a fast way to train continuous normalizing flow (CNF) models. CFM is a simulation-free training objective for continuous normalizing flows that allows conditional generative modelling and speeds up training and inference.

Source: Flow Matching for Generative Modeling


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