Corner-Sharing Tetrahedra for Modeling Micro-Structure
Meera Sitharam, Jeremy Youngquist, Maxwell Nolan, J\"org Peters

TL;DR
This paper introduces Corner-Sharing Tetrahedra (CoSTs), a discrete modeling approach for micro-structure that captures local constraints and multi-scale properties, enabling advanced geometric processing and analysis.
Contribution
It presents a novel discrete representation called CoSTs for modeling micro-structures, along with geometry processing operations and continuous approximations.
Findings
CoSTs effectively model various constraint systems.
The framework supports hierarchical refinement and randomization.
Associated continuous representations facilitate analysis.
Abstract
State-of-the-art representations of volumetric multi-scale shape and structure can be classified into three broad categories: continuous, continuous-from-discrete, and discrete representations. We propose modeling micro-structure with a class of discrete Corner-Sharing Tetrahedra (CoSTs). CoSTs can represent bar-joint, tensegrity, line-incidence, and similar constraint systems that capture local physical constraints and global multi-scale properties for design and analysis. The paper develops a palette of simple geometry processing operations on CoSTs including graph manipulation, hierarchical refinement, randomization, and generating associated continuous representations.
Peer Reviews
No public reviews on file for this paper yet. If you reviewed it on a platform where reviews are public (OpenReview, ICLR, NeurIPS, ICML), you can paste yours below so the community can read it here.
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.
