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20152022
most citedDeep Closest Point: Learning Representations for Point Cloud Registration

120 citations · 425 across the 22 of their papers we have counts for

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Showing cs.GRShow all

9 papers · 1 filter

cs.GR202123 cited

Interactive All-Hex Meshing via Cuboid Decomposition

Lingxiao Li, Paul Zhang, Dmitriy Smirnov +2

Standard PolyCube-based hexahedral (hex) meshing methods aim to deform the input domain into an axis-aligned PolyCube volume with integer corners; if this deformation is bijective,…

cs.GR2021

Co-Optimization of Design and Fabrication Plans for Carpentry

Haisen Zhao, Max Willsey, Amy Zhu +4

Past work on optimizing fabrication plans given a carpentry design can provide Pareto-optimal plans trading off between material waste, fabrication time, precision, and other consi…

cs.GR2021

Frame Field Operators

David R. Palmer, Oded Stein, Justin Solomon

Differential operators are widely used in geometry processing for problem domains like spectral shape analysis, data interpolation, parametrization and mapping, and meshing. In add…

cs.GR2021

HodgeNet: Learning Spectral Geometry on Triangle Meshes

Dmitriy Smirnov, Justin Solomon

Constrained by the limitations of learning toolkits engineered for other applications, such as those in image processing, many mesh-based learning algorithms employ data flows that…

cs.GR2020

Octahedral Frames for Feature-Aligned Cross-Fields

Paul Zhang, Josh Vekhter, Edward Chien +3

We present a method for designing smooth cross fields on surfaces that automatically align to sharp features of an underlying geometry. Our approach introduces a novel class of ene…

cs.GR2019

Algebraic Representations for Volumetric Frame Fields

David Palmer, David Bommes, Justin Solomon

Field-guided parametrization methods have proven effective for quad meshing of surfaces; these methods compute smooth cross fields to guide the meshing process and then integrate t…