Blaze3DM: Marry Triplane Representation with Diffusion for 3D Medical Inverse Problem Solving

arXiv:2405.15241v1 Announce Type: cross
Abstract: Solving 3D medical inverse problems such as image restoration and reconstruction is crucial in modern medical field. However, the curse of dimensionality in 3D medical data leads mainstream volume-wise methods to suffer from high resource consumption and challenges models to successfully capture the natural distribution, resulting in inevitable volume inconsistency and artifacts. Some recent works attempt to simplify generation in the latent space but lack the capability to efficiently model intricate image details. To address …

abstract arxiv challenges consumption cs.cv data diffusion dimensionality eess.iv however image image restoration leads medical medical data medical field modern problem representation restoration the curse of dimensionality type wise