57 citations · 171 across the 11 of their papers we have counts for
11 papers
Neural-Singular-Hessian: Implicit Neural Representation of Unoriented Point Clouds by Enforcing Singular Hessian
Zixiong Wang, Yunxiao Zhang, Rui Xu +6
Neural implicit representation is a promising approach for reconstructing surfaces from point clouds. Existing methods combine various regularization terms, such as the Eikonal and…
P2M: A Fast Solver for Querying Distance from Point to Mesh Surface
Chen Zong, Jiacheng Xu, Jiantao Song +4
Most of the existing point-to-mesh distance query solvers, such as Proximity Query Package (PQP), Embree and Fast Closest Point Query (FCPW), are based on bounding volume hierarchy…
A Task-driven Network for Mesh Classification and Semantic Part Segmentation
Qiujie Dong, Xiaoran Gong, Rui Xu +5
With the rapid development of geometric deep learning techniques, many mesh-based convolutional operators have been proposed to bridge irregular mesh structures and popular backbon…
Globally Consistent Normal Orientation for Point Clouds by Regularizing the Winding-Number Field
Rui Xu, Zhiyang Dou, Ningna Wang +6
Estimating normals with globally consistent orientations for a raw point cloud has many downstream geometry processing applications. Despite tremendous efforts in the past decades,…
SurfaceVoronoi: Efficiently Computing Voronoi Diagrams over Mesh Surfaces with Arbitrary Distance Solvers
Shiqing Xin, Pengfei Wang, Rui Xu +5
In this paper, we propose to compute Voronoi diagrams over mesh surfaces driven by an arbitrary geodesic distance solver, assuming that the input is a triangle mesh as well as a co…
Laplacian2Mesh: Laplacian-Based Mesh Understanding
Qiujie Dong, Zixiong Wang, Manyi Li +6
Geometric deep learning has sparked a rising interest in computer graphics to perform shape understanding tasks, such as shape classification and semantic segmentation. When the in…
Coverage Axis: Inner Point Selection for 3D Shape Skeletonization
Zhiyang Dou, Cheng Lin, Rui Xu +4
In this paper, we present a simple yet effective formulation called Coverage Axis for 3D shape skeletonization. Inspired by the set cover problem, our key idea is to cover all the…
Neural-IMLS: Self-supervised Implicit Moving Least-Squares Network for Surface Reconstruction
Zixiong Wang, Pengfei Wang, Pengshuai Wang +6
Surface reconstruction is very challenging when the input point clouds, particularly real scans, are noisy and lack normals. Observing that the Multilayer Perceptron (MLP) and the…
SEG-MAT: 3D Shape Segmentation Using Medial Axis Transform
Cheng Lin, Lingjie Liu, Changjian Li +4
Segmenting arbitrary 3D objects into constituent parts that are structurally meaningful is a fundamental problem encountered in a wide range of computer graphics applications. Exis…
Top-Down Shape Abstraction Based on Greedy Pole Selection
Zhiyang Dou, Shiqing Xin, Rui Xu +6
Motivated by the fact that the medial axis transform is able to encode nearly the complete shape, we propose to use as few medial balls as possible to approximate the original encl…
Caging Loops in Shape Embedding Space: Theory and Computation
Jian Liu, Shiqing Xin, Zengfu Gao +3
We propose to synthesize feasible caging grasps for a target object through computing Caging Loops, a closed curve defined in the shape embedding space of the object. Different fro…