Repulsive Surfaces
Not on the map. Why?
Abstract (arXiv)
Functionals that penalize bending or stretching of a surface play a key role in geometric and scientific computing, but to date have ignored a very basic requirement: in many situations, surfaces must not pass through themselves or each other. This paper develops a numerical framework for optimization of surface geometry while avoiding (self-)collision. The starting point is the tangent-point energy, which effectively pushes apart pairs of points that are close in space but distant along the surface. We develop a discretization of this energy for triangle meshes, and introduce a novel acceleration scheme based on a fractional Sobolev inner product. In contrast to similar schemes developed for curves, we avoid the complexity of building a multiresolution mesh hierarchy by decomposing our preconditioner into two ordinary Poisson equations, plus forward application of a fractional differential operator. We further accelerate this scheme via hierarchical approximation, and describe how to incorporate a variety of constraints (on area, volume, etc.). Finally, we explore how this machinery might be applied to problems in mathematical visualization, geometric modeling, and geometry processing.
Key facts. Cited by 4 papers in the map (data through 7 Oct 2026). First posted on arXiv 4 Jul 2021.
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Citing papers per year: 2022: 1; 2023: 2; 2024: 0; 2025: 1.
4 papers.
- 2022Sobolev Acceleration and Statistical Optimality for Learning Elliptic Equations via Gradient Descentcited by 11
- 2023Synthetic Data Generation and Deep Learning for the Topological Analysis of 3D Datacited by 4
- 2023Topology Estimation of Simulated 4D Image Data by Combining Downscaling and Convolutional Neural Networkscited by 2
- 2025Challenges in 3D Data Synthesis for Training Neural Networks on Topological Featurescited by 0
- 2025Challenges in 3D Data Synthesis for Training Neural Networks on Topological Features7 Nov 2025
- 2023Synthetic Data Generation and Deep Learning for the Topological Analysis of 3D Data29 Sep 2023
- 2023Topology Estimation of Simulated 4D Image Data by Combining Downscaling and Convolutional Neural Networks26 Jun 2023
- 2022Sobolev Acceleration and Statistical Optimality for Learning Elliptic Equations via Gradient Descent15 May 2022