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Mean Velocity Matching: Rethinking Generative Dynamics in Diffusion Models
This work studies prediction parameterization for stochastic generative dynamics in diffusion models. Existing velocity-based generative models provide the simplicity of learning a single transport field, but their standard formulation is deterministic, whereas stochastic extensions generally requir
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