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20202026
most citedStochastic Barnes-Hut Approximation for Fast Summation on the GPU

2 citations · 3 across the 6 of their papers we have counts for

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cs.GR2026

The Configurational Element Method for Nonconvex Granular Media

Zhecheng Wang, Breannan Smith, Abhishek Madan +1

Granular media surround us, comprising everything from the ground we walk on to the foods we eat. Owing to their ubiquity our ability to understand and predict the mechanical evolu…

cs.GR2025

Uniform Sampling of Surfaces by Casting Rays

Selena Ling, Abhishek Madan, Nicholas Sharp +1

Randomly sampling points on surfaces is an essential operation in geometry processing. This sampling is computationally straightforward on explicit meshes, but it is much more diff…

cs.GR2025★ 2 cited

Stochastic Barnes-Hut Approximation for Fast Summation on the GPU

Abhishek Madan, Nicholas Sharp, Francis Williams +2

We present a novel stochastic version of the Barnes-Hut approximation. Regarding the level-of-detail (LOD) family of approximations as control variates, we construct an unbiased es…

cs.GR2024★ 1 cited

Local Surface Parameterizations via Smoothed Geodesic Splines

Abhishek Madan, David I. W. Levin

We present a general method for computing local parameterizations rooted at a point on a surface, where the surface is described only through a signed implicit function and a corre…

cs.GR2020

Diffusion Structures for Architectural Stripe Pattern Generation

Abhishek Madan, Alec Jacobson, David I. W. Levin

We present Diffusion Structures, a family of resilient shell structures from the eigenfunctions of a pair of novel diffusion operators. This approach is based on Michell's theorem…