Abstract: The generation of 3D meshes is critical in numerous applications, evidenced by the growing popularity and attention towards interactive generative models. Although diffusion models currently ...
Abstract: In this paper, we introduce a novel 3D mesh convolution-based autoencoder for geometry compression, able to deal with irregular mesh data without requiring neither preprocessing nor manifold ...
3D computer vision enables us to understand the spatial arrangement, orientation, shape, and volumetric characteristics of objects in the 3D world, leading to high-level semantic insights. This ...
Reconstructing 3D point clouds into triangle meshes is a key problem in computational geometry and surface reconstruction. Point cloud triangulation solves this problem by providing edge information ...
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