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Convergence Analysis for Fast High-Order ODE Solvers in Diffusion Probabilistic Models
Score-based generative models have revolutionized high-dimensional sampling through forward diffusion and reverse processes. While stochastic DDPM samplers benefit from mature polynomial convergence theory, deterministic probability flow ODEs (underlying efficient DDIM-style samplers) offer superior speed through…
