2026
AC-Sampler: Accelerate and Correct Diffusion Sampling with Metropolis-Hastings Algorithm
ICLR 2026poster
Diffusion-based generative models have recently achieved state-of-the-art performance in high-fidelity image synthesis. These models learn a sequence of denoising transition kernels that gradually transform a simple prior distribution into a complex data distribution. However, requiring many transit…