9 papers
RADmesh: Remesh-Aware Mesh Deformation
Nam Anh Dinh, Itai Lang, Oded Stein +1
We propose a remeshing-enhanced method for generatively deforming shapes with visual losses. It is intuitive that sufficiently drastic deformations of a mesh without changing its t…
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…
Dual Contouring of Signed Distance Data
Xiana Carrera, Ningna Wang, Christopher Batty +2
We propose an algorithm to reconstruct explicit polygonal meshes from discretely sampled Signed Distance Function (SDF) data, which is especially effective at recovering sharp feat…
PINNsur: Physics-Informed Neural Networks for PDEs on Curved Surfaces
Pranav Jain, Navami Kairanda, Peter Yichen Chen +1
Partial differential equations (PDEs) on surfaces are fundamental to scientific computing and geometry processing. A popular approach to solving PDEs on surfaces is the finite elem…
Look Both Ways Before You Cross: Lifting Cross Fields From 2D Visual Priors
Dale Decatur, Jacob Serfaty, Oded Stein +2
We present CrossLift, a technique for computing cross fields on meshes guided by visual features in images. We leverage powerful text-to-image priors that are capable of synthesizi…
SpUDD: Superpower Contouring of Unsigned Distance Data
Ningna Wang, Xiana Carrera, Christopher Batty +2
Unsigned distance functions offer a powerful and flexible implicit surface representation that, unlike their signed counterparts, allow for surfaces that are open, non-orientable,…