3d Shapes
PulseAugur coverage of 3d Shapes — every cluster mentioning 3d Shapes across labs, papers, and developer communities, ranked by signal.
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Gromov-Wasserstein Quantization Extends K-Means for Geometry-Aware Clustering
This paper introduces Gromov-Wasserstein (GW) quantization as an extension of traditional k-means clustering. Unlike standard Wasserstein quantization which clusters points within a space, GW quantization also considers…
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New method links image segments to 3D shape correspondences
Researchers have developed a new method for establishing correspondences between image segments and 3D shapes, addressing challenges posed by differences in appearance, geometry, and viewpoint. The approach distills dee…
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SGSoft pipeline learns 3D shape correspondences via template-guided signals
Researchers have introduced SGSoft, a new pipeline for establishing dense correspondences across deformable 3D shapes. This method uses a canonical template to create a geodesic correspondence field, which then guides t…
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SQuadGen uses diffusion models and chart distance fields for simple 3D quad mesh layouts
Researchers have developed SQuadGen, a new diffusion-based generative framework designed to create simple quad mesh layouts on 3D shapes. This method addresses the challenge of generating clean, artist-friendly quad lay…