VM-DDPM: Vision Mamba Diffusion for Medical Image Synthesis

arXiv:2405.05667v1 Announce Type: cross
Abstract: In the realm of smart healthcare, researchers enhance the scale and diversity of medical datasets through medical image synthesis. However, existing methods are limited by CNN local perception and Transformer quadratic complexity, making it difficult to balance structural texture consistency. To this end, we propose the Vision Mamba DDPM (VM-DDPM) based on State Space Model (SSM), fully combining CNN local perception and SSM global modeling capabilities, while maintaining linear computational complexity. Specifically, we designed a …

abstract arxiv balance cnn complexity cs.cv datasets ddpm diffusion diversity eess.iv healthcare however image making mamba medical perception realm researchers scale smart synthesis texture through transformer type vision