most citedP2M: A Fast Solver for Querying Distance from Point to Mesh Surface

13 citations · 18 across the 5 of their papers we have counts for

collaborators

5 papers

cs.CV2024

NeurCADRecon: Neural Representation for Reconstructing CAD Surfaces by Enforcing Zero Gaussian Curvature

Qiujie Dong, Rui Xu, Pengfei Wang +5

Despite recent advances in reconstructing an organic model with the neural signed distance function (SDF), the high-fidelity reconstruction of a CAD model directly from low-quality…

cs.CV2023

OAAFormer: Robust and Efficient Point Cloud Registration Through Overlapping-Aware Attention in Transformer

Junjie Gao, Qiujie Dong, Ruian Wang +4

In the domain of point cloud registration, the coarse-to-fine feature matching paradigm has received substantial attention owing to its impressive performance. This paradigm involv…

cs.CV20234 cited

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…

cs.GR202313 cited

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…

cs.GR20231 cited

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,…