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A Unified Measure-Theoretic View of Diffusion, Score-Based, and Flow Matching Generative Models

arXiv cs.LG · 2026-05-11 Cached

This arXiv preprint proposes a unified measure-theoretic framework for understanding diffusion, score-based, and flow matching generative models. It establishes connections between these methods via continuity/Fokker-Planck equations and analyzes their sampling schemes and theoretical guarantees.

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