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Yuren Cai

2 accepted papers

2025

Diffusion Sampling Correction via Approximately 10 Parameters

ICML 2025poster

While powerful for generation, Diffusion Probabilistic Models (DPMs) face slow sampling challenges, for which various distillation-based methods have been proposed. However, they typically require significant additional training costs and model parameter storage, limiting their practicality. In this…

2025

PFDiff: Training-Free Acceleration of Diffusion Models Combining Past and Future Scores

ICLR 2025poster

Diffusion Probabilistic Models (DPMs) have shown remarkable potential in image generation, but their sampling efficiency is hindered by the need for numerous denoising steps. Most existing solutions accelerate the sampling process by proposing fast ODE solvers. However, the inevitable discretization…