Implicit Image-to-Image Schrodinger Bridge for CT Super-Resolution and Denoising

arXiv:2403.06069v1 Announce Type: cross
Abstract: Conditional diffusion models have gained recognition for their effectiveness in image restoration tasks, yet their iterative denoising process, starting from Gaussian noise, often leads to slow inference speeds. As a promising alternative, the Image-to-Image Schr\"odinger Bridge (I2SB) initializes the generative process from corrupted images and integrates training techniques from conditional diffusion models. In this study, we extended the I2SB method by introducing the Implicit Image-to-Image Schrodinger Bridge (I3SB), transitioning its generative process to a non-Markovian …

abstract arxiv bridge cs.cv cs.lg denoising diffusion diffusion models eess.iv generative image image restoration images image-to-image inference iterative leads noise process recognition tasks type