RL-ACD: Reinforcement Learning-based Approximate Convex Decomposition
A data-driven reinforcement learning approach for efficient and near-optimal approximate convex decomposition of 3D shapes
Lifted Surfacing of Generalized Sweep Volumes
A general algorithm for computing watertight sweep volume boundaries with sharp geometric features via lifting to higher dimensions
Adaptive Grid Generation for Discretizing Implicit Complexes
An adaptive grid generation method that captures fine geometric details for implicit surfaces including their intersection curves and joint points
Isometric Energies for Recovering Injectivity in Constrained Mapping
A method for computing injective (one-to-one) and low-distortion maps under fixed-boundary or positional constraints
Robust Computation of Implicit Surface Networks for Piecewise Linear Functions
A robust method for computing implicit surface networks (e.g. arrangements and material interfaces) on a tetrahedron grid
Optimizing Global Injectivity for Constrained Parameterization
A method for globally injectively mapping a triangle mesh to plane while satisfying positional constraints
Boundary-Sampled Halfspaces: A New Representation for Constructive Solid Modeling
A novel representation for solid models to facilitate intuitive shape design and straightforward reverse engineering
Lifting Simplices to Find Injectivity
A method for injectively mapping 2D/3D meshes into a target domain
Quad Mesh Generation via Field-Aligned Centroidal Voronoi Tessellation
Generating high-quality quad-dominant meshes by aligning mesh edges to an underlying directional field and pairing triangles to quadrilaterals
Field-Aligned Isotropic Surface Remeshing
Isotropic remeshing triangle meshes by aligning triangle edges to a given directional field