Coverage Axis++: Efficient Inner Point Selection for 3D Shape Skeletonization
Abstract We introduce Coverage Axis++, a novel and efficient approach to 3D shape
skeletonization. The current state‐of‐the‐art approaches for this task often rely on the …
skeletonization. The current state‐of‐the‐art approaches for this task often rely on the …
LaGeM: A Large Geometry Model for 3D Representation Learning and Diffusion
This paper introduces a novel hierarchical autoencoder that maps 3D models into a highly
compressed latent space. The hierarchical autoencoder is specifically designed to tackle the …
compressed latent space. The hierarchical autoencoder is specifically designed to tackle the …