Constrained by the limitations of learning toolkits engineered for other applications, such as
those in image processing, many mesh-based learning algorithms employ data flows that …

Curves play a fundamental role across computer graphics, physical simulation, and
mathematical visualization, yet most tools for curve design do nothing to prevent crossings …

Geometric operators are common objects in surface-based shape analysis and geometry
processing. While the intrinsic Laplace–Beltrami operator has been a ubiquitous choice …

Motivation The shape of a cell is tightly controlled, and reflects important processes
including actomyosin activity, adhesion properties, cell differentiation, and polarization …

A complete representation of 3D objects requires characterizing the space of deformations
in an interpretable manner, from articulations of a single instance to changes in shape …

Lunar regolith simulants are instrumental in the demonstration and validation of several
space technologies, and the geometry properties are essential in understanding their …

In differential geometry of surfaces the Dirac operator appears intrinsically as a tool to
address the immersion problem as well as in an extrinsic flavor (that comes with spin …

While deep learning has been successfully applied to many tasks in computer graphics and
vision, standard learning architectures often operate on shape representations that are …

Développer des modèles capables de comprendre la dynamique du corps humain
représente aujourd'hui un défi important dans le domaine de l'informatique graphique. Les …

This paper introduces a generative model for 3D surfaces based on a representation of
shapes with mean curvature and metric, which are invariant under rigid transformation …