Surface and edge detection for primitive fitting of point clouds
Fitting primitives for point cloud data to obtain a structural representation has been widely
adopted for reverse engineering and other graphics applications. Existing segmentation …
adopted for reverse engineering and other graphics applications. Existing segmentation …
Neural parametric surfaces for shape modeling
The recent surge of utilizing deep neural networks for geometric processing and shape
modeling has opened up exciting avenues. However, there is a conspicuous lack of …
modeling has opened up exciting avenues. However, there is a conspicuous lack of …
Patch-Grid: an efficient and feature-preserving neural implicit surface representation
Neural implicit representations are known to be more compact for depicting 3D shapes than
traditional discrete representations. However, the neural representations tend to round …
traditional discrete representations. However, the neural representations tend to round …
Mesh2Brep: B-Rep Reconstruction Via Robust Primitive Fitting and Intersection-Aware Constraints
In boundary representation (B-rep) reconstruction for computer aided design (CAD)
applications, it is still challenging with existing methods to distinguish primitives in the …
applications, it is still challenging with existing methods to distinguish primitives in the …
PS-CAD: Local Geometry Guidance via Prompting and Selection for CAD Reconstruction
Reverse engineering CAD models from raw geometry is a classic but challenging research
problem. In particular, reconstructing the CAD modeling sequence from point clouds …
problem. In particular, reconstructing the CAD modeling sequence from point clouds …
QuickCSGModeling: Quick CSG operations based on fusing signed distance fields for VR modeling
The latest advancements in Virtual Reality (VR) enable the creation of 3D models within a
holographic immersive simulation environment. In this article, we create …
holographic immersive simulation environment. In this article, we create …
Development of Three-Dimensional Soil Water Dynamic Flow (3D SWD FLOW) Data Model for Landslide Modelling
To date, 3D geospatial models in landslide studies are gaining less attention than other
environment-related studies due to the complex integration of geotechnical and hydrological …
environment-related studies due to the complex integration of geotechnical and hydrological …