A BVH with precomputed moments and adaptive NURBS subdivision accelerates GWN containment queries on curved geometry with sub-linear complexity.
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5 Pith papers cite this work. Polarity classification is still indexing.
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Pith papers citing it
representative citing papers
CelloCut formulates watertight remeshing as binary labeling on a Delaunay tetrahedral partition solved by graph-cut minimization with one-sided constraints to guarantee volumetrically consistent solids.
OffsetAxis reconstructs meshes from unsigned distance fields by extracting the medial axis of the alpha-offset volume using ray casting and variational medial ball optimization.
Cut-DeepONet uses a lifting strategy and an auxiliary network to predict discontinuity locations, enabling a neural operator to learn smooth components in partitioned regions and outperforming prior methods on benchmark PDEs with fewer parameters even on low-resolution data.
A robust containment query for collections of trimmed NURBS surfaces that computes generalized winding numbers directly via adaptive quadrature on solid angle boundary integrals without surface discretization.
citing papers explorer
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Spatially Accelerated Winding Numbers for Curved Geometry
A BVH with precomputed moments and adaptive NURBS subdivision accelerates GWN containment queries on curved geometry with sub-linear complexity.
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CelloCut: Constructive Watertight Remeshing via Tetrahedral Cell Cuts
CelloCut formulates watertight remeshing as binary labeling on a Delaunay tetrahedral partition solved by graph-cut minimization with one-sided constraints to guarantee volumetrically consistent solids.
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OffsetAxis: UDF Mesh Reconstruction via Offset-Volume Medial Axis Extraction
OffsetAxis reconstructs meshes from unsigned distance fields by extracting the medial axis of the alpha-offset volume using ray casting and variational medial ball optimization.
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Smooth Piecewise Cutting for Neural Operator to Handle Discontinuities and Sharp Transitions
Cut-DeepONet uses a lifting strategy and an auxiliary network to predict discontinuity locations, enabling a neural operator to learn smooth components in partitioned regions and outperforming prior methods on benchmark PDEs with fewer parameters even on low-resolution data.
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Robust Containment Queries over Collections of Trimmed NURBS Surfaces via Generalized Winding Numbers
A robust containment query for collections of trimmed NURBS surfaces that computes generalized winding numbers directly via adaptive quadrature on solid angle boundary integrals without surface discretization.