ropose a principled and effective framework for one-step generative
modeling. We introduce the notion of average velocity to characterize flow
fields, in contrast to instantaneous velocity modeled by Flow Matching methods.
A well-defined identity between average and instantaneous velocities is derived
and used to guide neural network training. Our method, termed the MeanFlow
model, is self-contained and requires no pre-training, distillation, or
curriculum learning. MeanFlow demonstrates strong empirical pe