research
∙
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...
share
research
∙
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...
research
∙
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...
research
∙
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...
research
∙
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...
research
∙
12/07/2022
RFEPS: Reconstructing Feature-line Equipped Polygonal Surface
Feature lines are important geometric cues in characterizing the structu...
research
∙
02/01/2022
Laplacian2Mesh: Laplacian-Based Mesh Understanding
Geometric deep learning has sparked a rising interest in computer graphi...
research
∙
10/03/2021
Coverage Axis: Inner Point Selection for 3D Shape Skeletonization
In this paper, we present a simple yet effective formulation called Cove...
research
∙
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...
research
∙
10/22/2020
SEG-MAT: 3D Shape Segmentation Using Medial Axis Transform
Segmenting arbitrary 3D objects into constituent parts that are structur...
research
∙
10/20/2019
Top-Down Shape Abstraction Based on Greedy Pole Selection
Motivated by the fact that the medial axis transform is able to encode n...
research
∙
07/31/2018
