High-Fidelity Medical Shape Generation via Skeletal Latent Diffusion

ArXi:2603.07504v1 Announce Type: new Anatomy shape modeling is a fundamental problem in medical data analysis. However, the geometric complexity and topological variability of anatomical structures pose significant challenges to accurate anatomical shape generation. In this work, we propose a skeletal latent diffusion framework that explicitly incorporates structural priors for efficient and high-fidelity medical shape generation. We