15 citations · 20 across the 9 of their papers we have counts for
12 papers
Phong-Rodrigues Extrinsic Vector-Field Processing
Hongyi Liu, Oded Stein, Amir Vaxman +2
We introduce a new extrinsic discretization of tangent vector fields on triangle meshes that is continuous, with bounded derivatives that are continuous almost everywhere, supporti…
Constrained Delaunay Tetrahedrization: A Robust and Practical Approach
Lorenzo Diazzi, Daniele Panozzo, Amir Vaxman +1
We present a numerically robust algorithm for computing the constrained Delaunay tetrahedrization (CDT) of a piecewise-linear complex, which has a 100% success rate on the 4408 val…
Fabrication-Aware Strip-Decomposable Quadrilateral Meshes
Ioanna Mitropoulou, Amir Vaxman, Olga Diamanti +1
Strip-decomposable quadrilateral (SDQ) meshes, i.e., quad meshes that can be decomposed into two transversal strip networks, are vital in numerous fabrication processes; examples i…
BPM: Blended Piecewise Moebius Maps
Shir Rorberg, Amir Vaxman, Mirela Ben-Chen
We propose a novel Moebius interpolator that takes as an input a discrete map between the vertices of two planar triangle meshes, and outputs a smooth map on the input domain. The…
Explicit Neural Surfaces: Learning Continuous Geometry With Deformation Fields
Thomas Walker, Octave Mariotti, Amir Vaxman +1
We introduce Explicit Neural Surfaces (ENS), an efficient smooth surface representation that directly encodes topology with a deformation field from a known base domain. We apply t…
OReX: Object Reconstruction from Planar Cross-sections Using Neural Fields
Haim Sawdayee, Amir Vaxman, Amit H. Bermano
Reconstructing 3D shapes from planar cross-sections is a challenge inspired by downstream applications like medical imaging and geographic informatics. The input is an in/out indic…