Search Results for author:
Found 15 papers, 12 papers with code
Image Sculpting: Precise Object Editing with 3D Geometry Control
We present Image Sculpting, a new framework for editing 2D images by incorporating tools from 3D geometry and graphics.
An Extensible Benchmark Suite for Learning to Simulate Physical Systems
Simulating physical systems is a core component of scientific computing, encompassing a wide range of physical domains and applications.
Orienting Point Clouds with Dipole Propagation
In the global phase, we propagate the orientation across all coherent patches using a dipole propagation.
DEF: Deep Estimation of Sharp Geometric Features in 3D Shapes
We propose Deep Estimators of Features (DEFs), a learning-based framework for predicting sharp geometric features in sampled 3D shapes.
Robust & Asymptotically Locally Optimal UAV-Trajectory Generation Based on Spline Subdivision
Generating locally optimal UAV-trajectories is challenging due to the non-convex constraints of collision avoidance and actuation limits.
Robotics
A Large Scale Benchmark and an Inclusion-Based Algorithm for Continuous Collision Detection
We introduce a large scale benchmark for continuous collision detection (CCD) algorithms, composed of queries manually constructed to highlight challenging degenerate cases and automatically generated using existing simulators to cover common cases.
Graphics
ACORNS: An Easy-To-Use Code Generator for Gradients and Hessians
We demonstrate that our algorithm enables automatic, reliable, and efficient differentiation of common algorithms used in physical simulation and geometry processing.
Mathematical Software Symbolic Computation
VoronoiNet: General Functional Approximators with Local Support
Voronoi diagrams are highly compact representations that are used in various Graphics applications.
Fast Tetrahedral Meshing in the Wild
Our method builds on the TetWild algorithm, replacing the rational triangle insertion with a new incremental approach to construct and optimize the output mesh, interleaving triangle insertion and mesh optimization.
Graphics
Gradient Dynamics of Shallow Univariate ReLU Networks
We show that the gradient dynamics of such networks are determined by the gradient flow in a non-redundant parameterization of the network function.
A Large-Scale Comparison of Tetrahedral and Hexahedral Elements for Solving Elliptic PDEs with the Finite Element Method
The Finite Element Method (FEM) is widely used to solve discrete Partial Differential Equations (PDEs) in engineering and graphics applications.
Numerical Analysis
ABC: A Big CAD Model Dataset For Geometric Deep Learning
We introduce ABC-Dataset, a collection of one million Computer-Aided Design (CAD) models for research of geometric deep learning methods and applications.
Deep Geometric Prior for Surface Reconstruction
We propose the use of a deep neural network as a geometric prior for surface reconstruction.
Poly-Spline Finite Element Method
We introduce an integrated meshing and finite element method pipeline enabling black-box solution of partial differential equations in the volume enclosed by a boundary representation.
Numerical Analysis Graphics
Surface Networks
We study data-driven representations for three-dimensional triangle meshes, which are one of the prevalent objects used to represent 3D geometry.
