184 citations · 568 across the 28 of their papers we have counts for
31 papers
Optimized shock-protecting microstructures
Zizhou Huang, Daniele Panozzo, Denis Zorin
Mechanical shock is a common occurrence in various settings, there are two different scenarios for shock protection: catastrophic protection (e.g. car collisions and falls) and rou…
Cut-Cell Microstructures for Two-scale Structural Optimization
Davi Colli Tozoni, Zizhou Huang, Daniele Panozzo +1
Two-scale topology optimization, combined with the design of microstructure families with a broad range of effective material parameters, is increasingly widely used in many fabric…
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…
Convergent Incremental Potential Contact
Minchen Li, Zachary Ferguson, Teseo Schneider +5
Recent advances in the simulation of frictionally contacting elastodynamics with the Incremental Potential Contact (IPC) model have enabled inversion and intersection-free simulati…
Open-Full-Jaw: An open-access dataset and pipeline for finite element models of human jaw
Torkan Gholamalizadeh, Faezeh Moshfeghifar, Zachary Ferguson +7
Developing computational models of the human jaw acquired from cone-beam computed tomography (CBCT) scans is time-consuming and labor-intensive. Besides, a quantitative comparison…
High-Order Incremental Potential Contact for Elastodynamic Simulation on Curved Meshes
Zachary Ferguson, Pranav Jain, Denis Zorin +2
High-order bases provide major advantages over linear ones in terms of efficiency, as they provide (for the same physical model) higher accuracy for the same running time, and reli…
Differentiable solver for time-dependent deformation problems with contact
Zizhou Huang, Davi Colli Tozoni, Arvi Gjoka +4
We introduce a general differentiable solver for time-dependent deformation problems with contact and friction. Our approach uses a finite element discretization with a high-order…
A Large-Scale Benchmark for the Incompressible Navier-Stokes Equations
Zizhou Huang, Teseo Schneider, Minchen Li +3
We introduce a collection of benchmark problems in 2D and 3D (geometry description and boundary conditions), including simple cases with known analytic solution, classical experime…
A Cross-Platform Benchmark for Interval Computation Libraries
Xuan Tang, Zachary Ferguson, Teseo Schneider +3
Interval computation is widely used to certify computations that use floating point operations to avoid pitfalls related to rounding error introduced by inaccurate operations. Desp…
Sparsity-Specific Code Optimization using Expression Trees
Philipp Herholz, Xuan Tang, Teseo Schneider +3
We introduce a code generator that converts unoptimized C++ code operating on sparse data into vectorized and parallel CPU or GPU kernels. Our approach unrolls the computation into…
An Extensible Benchmark Suite for Learning to Simulate Physical Systems
Karl Otness, Arvi Gjoka, Joan Bruna +4
Simulating physical systems is a core component of scientific computing, encompassing a wide range of physical domains and applications. Recently, there has been a surge in data-dr…
Orienting Point Clouds with Dipole Propagation
Gal Metzer, Rana Hanocka, Denis Zorin +3
Establishing a consistent normal orientation for point clouds is a notoriously difficult problem in geometry processing, requiring attention to both local and global shape characte…
Efficient and Robust Discrete Conformal Equivalence with Boundary
Marcel Campen, Ryan Capouellez, Hanxiao Shen +3
We describe an efficient algorithm to compute a conformally equivalent metric for a discrete surface, possibly with boundary, exhibiting prescribed Gaussian curvature at all interi…
DEF: Deep Estimation of Sharp Geometric Features in 3D Shapes
Albert Matveev, Ruslan Rakhimov, Alexey Artemov +6
We propose Deep Estimators of Features (DEFs), a learning-based framework for predicting sharp geometric features in sampled 3D shapes. Differently from existing data-driven method…
Robust & Asymptotically Locally Optimal UAV-Trajectory Generation Based on Spline Subdivision
Ruiqi Ni, Teseo Schneider, Daniele Panozzo +2
Generating locally optimal UAV-trajectories is challenging due to the non-convex constraints of collision avoidance and actuation limits. We present the first local, optimization-b…
A Large Scale Benchmark and an Inclusion-Based Algorithm for Continuous Collision Detection
Bolun Wang, Zachary Ferguson, Teseo Schneider +3
We introduce a large scale benchmark for continuous collision detection (CCD) algorithms, composed of queries manually constructed to highlight challenging degenerate cases and aut…
ACORNS: An Easy-To-Use Code Generator for Gradients and Hessians
Deshana Desai, Etai Shuchatowitz, Zhongshi Jiang +2
The computation of first and second-order derivatives is a staple in many computing applications, ranging from machine learning to scientific computing. We propose an algorithm to…
VoronoiNet: General Functional Approximators with Local Support
Francis Williams, Daniele Panozzo, Kwang Moo Yi +1
Voronoi diagrams are highly compact representations that are used in various Graphics applications. In this work, we show how to embed a differentiable version of it -- via a novel…
Fast Tetrahedral Meshing in the Wild
Yixin Hu, Teseo Schneider, Bolun Wang +2
We propose a new tetrahedral meshing method, fTetWild, to convert triangle soups into high-quality tetrahedral meshes. Our method builds on the TetWild algorithm, replacing the rat…
Dynamic Drawing Guidance via Electromagnetic Haptic Feedback
Thomas Langerak, Juan Zarate, Velko Vechev +2
We propose a system to deliver dynamic guidance in drawing, sketching and handwriting tasks via an electromagnet moving underneath a high refresh rate pressure sensitive tablet. Th…
Gradient Dynamics of Shallow Univariate ReLU Networks
Francis Williams, Matthew Trager, Claudio Silva +3
We present a theoretical and empirical study of the gradient dynamics of overparameterized shallow ReLU networks with one-dimensional input, solving least-squares interpolation. We…
Unwind: Interactive Fish Straightening
Francis Williams, Alexander Bock, Harish Doraiswamy +5
The ScanAllFish project is a large-scale effort to scan all the world's 33,100 known species of fishes. It has already generated thousands of volumetric CT scans of fish species wh…
A Large-Scale Comparison of Tetrahedral and Hexahedral Elements for Solving Elliptic PDEs with the Finite Element Method
Teseo Schneider, Yixin Hu, Xifeng Gao +3
The Finite Element Method (FEM) is widely used to solve discrete Partial Differential Equations (PDEs) in engineering and graphics applications. The popularity of FEM led to the de…
ABC: A Big CAD Model Dataset For Geometric Deep Learning
Sebastian Koch, Albert Matveev, Zhongshi Jiang +6
We introduce ABC-Dataset, a collection of one million Computer-Aided Design (CAD) models for research of geometric deep learning methods and applications. Each model is a collectio…