Accelerating Diffusion Models for Inverse Problems through Shortcut Sampling

The core message of this paper is to propose a novel pipeline called Shortcut Sampling for Diffusion (SSD) that can efficiently solve inverse problems in a zero-shot manner by modifying the forward process of diffusion models to obtain a transitional state that bridges the gap between the input measurement image and the target restoration.