CCVFM uses an entropic Sinkhorn coreset to induce a closed-form Gaussian mixture source for hierarchical rectified flow matching, then trains a lightweight correction flow on the residual, achieving competitive few-step image generation.
Variational inference with normalizing flows
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Coreset-Induced Conditional Velocity Flow Matching
CCVFM uses an entropic Sinkhorn coreset to induce a closed-form Gaussian mixture source for hierarchical rectified flow matching, then trains a lightweight correction flow on the residual, achieving competitive few-step image generation.