Mean Velocity Matching: Rethinking Generative Dynamics in Diffusion Models

arXiv:2609.25444 · cs.LG, cs.CV · Submitted 2026-09-21 · Read on arXiv

cs.LG, cs.CV

Submitted: 2026-09-21

Updated: 2026-09-21

License: http://arxiv.org/licenses/nonexclusive-distrib/1.0/

Terminology

• Diffusion Model — 19× in this paper · explained in 8 episodes
• Diffusion Models — 18× in this paper · explained in 6 episodes
• Generative Model — 13× in this paper · explained in 2 episodes
• Generative Models — 13× in this paper · explained in 2 episodes
• Transformer — 11× in this paper · explained in 2 episodes
• Mean Velocity Matching — 7× in this paper
• Flow Matching — 6× in this paper · explained in 8 episodes
• Distillation — 4× in this paper · explained in 2 episodes
• Generative Modeling — 4× in this paper · explained in 3 episodes
• Rectified Flow — 4× in this paper · explained in 3 episodes
• Adam — 2× in this paper · explained in 2 episodes
• Consistency — 2× in this paper · explained in 3 episodes
• Loss Function — 2× in this paper · explained in 2 episodes
• Optimal Transport — 2× in this paper · explained in 5 episodes
• Alignment — 1× in this paper · explained in 1 episode
• Benchmark — 1× in this paper · explained in 2 episodes
• Fidelity — 1× in this paper · explained in 2 episodes
• Generative AI — 1× in this paper · explained in 2 episodes
• Latent Diffusion Model — 1× in this paper · explained in 2 episodes
• Latent Diffusion Models — 1× in this paper · explained in 2 episodes
• Latent Space — 1× in this paper · explained in 7 episodes
• Nash Equilibrium — 1× in this paper · explained in 2 episodes
• Normalizing Flow — 1× in this paper · explained in 3 episodes
• Normalizing Flows — 1× in this paper · explained in 4 episodes
• Stochastic Dynamics — 1× in this paper · explained in 2 episodes

Sources

• DINOv3
• Stochastic Sampling from Deterministic Flow Models
• Diffusion Transformers with Representation Autoencoders

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