2 papers
math.NA2026
Stochstic Sampling for Generative Diffusion Models: From Euler-Maruyama to Higher-Order Schemes
Emanuel Pfarr, Radu Timofte, Frank Werner
We develop a convergence analysis for generative diffusion models that simultaneously accounts for the three principal sources of error in stochastic sampling: initialization error…
cs.CV2025
A Simple Combination of Diffusion Models for Better Quality Trade-Offs in Image Denoising
Jonas Dornbusch, Emanuel Pfarr, Florin-Alexandru Vasluianu +2
Diffusion models have garnered considerable interest in computer vision, owing both to their capacity to synthesize photorealistic images and to their proven effectiveness in image…