Efficient 3D Medical Reconstruction from Sparse Views via 2D Diffusion Models with Curvature Priors.
Reconstructing medical images from partial measurements is a critical inverse problem in computed tomography (CT) and magnetic resonance imaging (MRI). While diffusion models excel in 2D medical imaging, their extension to 3D reconstruction remains challenging due to high computational costs. In this work, we achieve e...