18 citations · 21 across the 4 of their papers we have counts for
6 papers · 1 filter
CageNet: A Meta-Framework for Learning on Wild Meshes
Michal Edelstein, Hsueh-Ti Derek Liu, Mirela Ben-Chen
Learning on triangle meshes has recently proven to be instrumental to a myriad of tasks, from shape classification, to segmentation, to deformation and animation, to mention just a…
AmiGo: Computational Design of Amigurumi Crochet Patterns
Michal Edelstein, Hila Peleg, Shachar Itzhaky +1
We propose an approach for generating crochet instructions (patterns) from an input 3D model. We focus on Amigurumi, which are knitted stuffed toys. Given a closed triangle mesh, a…
PH-CPF: Planar Hexagonal Meshing using Coordinate Power Fields
Kacper Pluta, Michal Edelstein, Amir Vaxman +1
We present a new approach for computing planar hexagonal meshes that approximate a given surface, represented as a triangle mesh. Our method is based on two novel technical contrib…
Surface Multigrid via Intrinsic Prolongation
Hsueh-Ti Derek Liu, Jiayi Eris Zhang, Mirela Ben-Chen +1
This paper introduces a novel geometric multigrid solver for unstructured curved surfaces. Multigrid methods are highly efficient iterative methods for solving systems of linear eq…
ENIGMA: Evolutionary Non-Isometric Geometry Matching
Michal Edelstein, Danielle Ezuz, Mirela Ben-Chen
In this paper we propose a fully automatic method for shape correspondence that is widely applicable, and especially effective for non isometric shapes and shapes of different topo…
Reversible Harmonic Maps between Discrete Surfaces
Danielle Ezuz, Justin Solomon, Mirela Ben-Chen
Information transfer between triangle meshes is of great importance in computer graphics and geometry processing. To facilitate this process, a smooth and accurate map is typically…