Flow Matching for Generative Modeling (Paper Explained)

Flow matching is a more general method than diffusion and serves as the basis for models like Stable Diffusion 3.

Paper: https://arxiv.org/abs/2210.02747

Abstract:
We introduce a new paradigm for generative modeling built on Continuous Normalizing Flows (CNFs), allowing us to train CNFs at unprecedented scale. Specifically, we present the notion of Flow Matching (FM), a simulation-free approach for training CNFs based on regressing vector fields of fixed conditional probability paths. Flow Matching is compatible with a general family of Gaussian …

abstract continuous continuous normalizing flows diffusion explained flow general generative generative modeling modeling new paradigm notion paper paradigm scale stable diffusion stable diffusion 3 train