activity
20152024
most citedDeep Closest Point: Learning Representations for Point Cloud Registration

120 citations · 433 across the 25 of their papers we have counts for

collaborators
Showing 2021Show all

9 papers · 1 filter

cs.CG202117 cited

Sum-of-Squares Geometry Processing

Zoë Marschner, Paul Zhang, David Palmer +1

Geometry processing presents a variety of difficult numerical problems, each seeming to require its own tailored solution. This breadth is largely due to the expansive list of geom…

cs.CV202150 cited

Object DGCNN: 3D Object Detection using Dynamic Graphs

Yue Wang, Justin Solomon

3D object detection often involves complicated training and testing pipelines, which require substantial domain knowledge about individual datasets. Inspired by recent non-maximum…

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.LG202110 cited

Do Neural Optimal Transport Solvers Work? A Continuous Wasserstein-2 Benchmark

Alexander Korotin, Lingxiao Li, Aude Genevay +3

Despite the recent popularity of neural network-based solvers for optimal transport (OT), there is no standard quantitative way to evaluate their performance. In this paper, we add…