11 papers
Structural MAT: Clean and Scalable Medial Axis Simplification via Explicit Surface Correspondence
Pengfei Wang, Shuangmin Chen, Dongming Yan +4
The Medial Axis Transform (MAT) is a complete shape descriptor capable of reconstructing the geometry of the original domain. A high-quality MAT should not only facilitate high-fid…
Manifold k-NN: Accelerated k-NN Queries for Manifold Point Clouds
Pengfei Wang, Qinghao Guo, Haisen Zhao +4
k-nearest neighbor (k-NN) search is a fundamental primitive in geometry processing and computer graphics. While spatial partitioning structures such as kd-trees are standard, they…
P2M++: Enhanced Solver for Point-to-Mesh Distance Queries
Qinghao Guo, Pengfei Wang, Chen Zong +5
Point-to-mesh distance queries are fundamental in computer graphics and geometric modeling. While the state-of-the-art P2M method achieves high-speed queries via Voronoi-based loca…
Filmsticking++: Rapid Film Sticking for Explicit Surface Reconstruction
Pengfei Wang, Jian Liu, Qiujie Dong +5
Explicit surface reconstruction aims to generate a surface mesh that exactly interpolates a given point cloud. This requirement is crucial when the point cloud must lie non-negotia…
Swept Volume Computation with Enhanced Geometric Detail Preservation
Pengfei Wang, Yuexin Yang, Shuangmin Chen +3
Swept volume computation, the determination of regions occupied by moving objects, is essential in graphics, robotics, and manufacturing. Existing approaches either explicitly trac…
MeshMosaic: Scaling Artist Mesh Generation via Local-to-Global Assembly
Rui Xu, Tianyang Xue, Qiujie Dong +9
Scaling artist-designed meshes to high triangle numbers remains challenging for autoregressive generative models. Existing transformer-based methods suffer from long-sequence bottl…