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09/04/2023
Neural-Singular-Hessian: Implicit Neural Representation of Unoriented Point Clouds by Enforcing Singular Hessian
Neural implicit representation is a promising approach for reconstructin...
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08/30/2023
P2M: A Fast Solver for Querying Distance from Point to Mesh Surface
Most of the existing point-to-mesh distance query solvers, such as Proxi...
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06/08/2023
Mesh-MLP: An all-MLP Architecture for Mesh Classification and Semantic Segmentation
With the rapid development of geometric deep learning techniques, many m...
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04/23/2023
Globally Consistent Normal Orientation for Point Clouds by Regularizing the Winding-Number Field
Estimating normals with globally consistent orientations for a raw point...
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12/18/2022
SurfaceVoronoi: Efficiently Computing Voronoi Diagrams over Mesh Surfaces with Arbitrary Distance Solvers
In this paper, we propose to compute Voronoi diagrams over mesh surfaces...
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02/01/2022
Laplacian2Mesh: Laplacian-Based Mesh Understanding
Geometric deep learning has sparked a rising interest in computer graphi...
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09/09/2021
Neural-IMLS: Learning Implicit Moving Least-Squares for Surface Reconstruction from Unoriented Point Clouds
Surface reconstruction from noisy, non-uniform, and unoriented point clo...
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10/20/2019