activity
20172026
most citedVariational Barycentric Coordinates

18 citations · 68 across the 18 of their papers we have counts for

collaborators

21 papers

cs.GR2026

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…

cs.GR2026

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…

cs.GR2026

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…

cs.GR2026

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…

cs.GR2026

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,…

cs.GR2026

Greed for the Spheres: A Signed Distance Interpolation Method

Letao Chen, Sanju Mupparaju, Christopher Batty +2

We propose a method to interpolate Signed Distance Function (SDF) data from a discrete set of samples. Unlike prior work, our approach ensures that the new SDF data values are full…

cs.GR2026

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…

cs.GR2025★ 1 cited

Geometry in Style: 3D Stylization via Surface Normal Deformation

Nam Anh Dinh, Itai Lang, Hyunwoo Kim +2

We present Geometry in Style, a new method for identity-preserving mesh stylization. Existing techniques either adhere to the original shape through overly restrictive deformations…

cs.GR2024★ 1 cited

Robust Biharmonic Skinning Using Geometric Fields

Ana Dodik, Vincent Sitzmann, Justin Solomon +1

Bounded bihramonic weights are a popular tool used to rig and deform characters for animation, to compute reduced-order simulations, and to define feature descriptors for geometry…

math.NA2023★ 5 cited

A Framework for Solving Parabolic Partial Differential Equations on Discrete Domains

Leticia Mattos Da Silva, Oded Stein, Justin Solomon

We introduce a framework for solving a class of parabolic partial differential equations on triangle mesh surfaces, including the Hamilton-Jacobi equation and the Fokker-Planck equ…

math.NA2023

An Adaptive Fast-Multipole-Accelerated Hybrid Boundary Integral Equation Method for Accurate Diffusion Curves

Seungbae Bang, Kirill Serkh, Oded Stein +1

In theory, diffusion curves promise complex color gradations for infinite-resolution vector graphics. In practice, existing realizations suffer from poor scaling, discretization ar…

cs.GR2023★ 18 cited

Variational Barycentric Coordinates

Ana Dodik, Oded Stein, Vincent Sitzmann +1

We propose a variational technique to optimize for generalized barycentric coordinates that offers additional control compared to existing models. Prior work represents barycentric…

cs.HC2023

The Effect of Smoothing on the Interpretation of Time Series Data: A COVID-19 Case Study

Oded Stein, Alec Jacobson, Fanny Chevalier

We conduct a controlled crowd-sourced experiment of COVID-19 case data visualization to study if and how different plotting methods, time windows, and the nature of the data influe…

cs.GR2023★ 2 cited

Reach For the Spheres: Tangency-Aware Surface Reconstruction of SDFs

Silvia Sellán, Christopher Batty, Oded Stein

Signed distance fields (SDFs) are a widely used implicit surface representation, with broad applications in computer graphics, computer vision, and applied mathematics. To reconstr…

cs.GR2022★ 3 cited

A Dataset and Benchmark for Mesh Parameterization

Georgia Shay, Justin Solomon, Oded Stein

UV parameterization is a core task in computer graphics, with applications in mesh texturing, remeshing, mesh repair, mesh editing, and more. It is thus an active area of research,…

cs.GR2022★ 10 cited

Symmetric Volume Maps: Order-Invariant Volumetric Mesh Correspondence with Free Boundary

S. Mazdak Abulnaga, Oded Stein, Polina Golland +1

Although shape correspondence is a central problem in geometry processing, most methods for this task apply only to two-dimensional surfaces. The neglected task of volumetric corre…

cs.GR2021★ 8 cited

A Splitting Scheme for Flip-Free Distortion Energies

Oded Stein, Jiajin Li, Justin Solomon

We introduce a robust optimization method for flip-free distortion energies used, for example, in parametrization, deformation, and volume correspondence. This method can minimize…

cs.GR2021

Frame Field Operators

David R. Palmer, Oded Stein, Justin Solomon

Differential operators are widely used in geometry processing for problem domains like spectral shape analysis, data interpolation, parametrization and mapping, and meshing. In add…

math.NA2019★ 3 cited

A mixed finite element method with piecewise linear elements for the biharmonic equation on surfaces

Oded Stein, Eitan Grinspun, Alec Jacobson +1

The biharmonic equation with Dirichlet and Neumann boundary conditions discretized using the mixed finite element method and piecewise linear (with the possible exception of bounda…

cs.GR2019★ 17 cited

A Smoothness Energy without Boundary Distortion for Curved Surfaces

Oded Stein, Alec Jacobson, Max Wardetzky +1

Current quadratic smoothness energies for curved surfaces either exhibit distortions near the boundary due to zero Neumann boundary conditions, or they do not correctly account for…

cs.GR2017

Natural Boundary Conditions for Smoothing in Geometry Processing

Oded Stein, Eitan Grinspun, Max Wardetzky +1

In geometry processing, smoothness energies are commonly used to model scattered data interpolation, dense data denoising, and regularization during shape optimization. The squared…