b'Alec Jacobson'

research

∙ 10/20/2022

Breaking Bad: A Dataset for Geometric Fracture and Reassembly

We introduce Breaking Bad, a large-scale dataset of fractured objects. O...

Silvia Sellán, et al. ∙

research

∙ 06/30/2022

Stochastic Poisson Surface Reconstruction

We introduce a statistical extension of the classic Poisson Surface Reco...

Silvia Sellán, et al. ∙

research

∙ 06/15/2022

Variable Bitrate Neural Fields

Neural approximations of scalar and vector fields, such as signed distan...

Towaki Takikawa, et al. ∙

research

∙ 05/30/2022

Neural Shape Mating: Self-Supervised Object Assembly with Adversarial Shape Priors

Learning to autonomously assemble shapes is a crucial skill for many rob...

Yun-Chun Chen, et al. ∙

research

∙ 05/26/2022

VectorAdam for Rotation Equivariant Geometry Optimization

The rise of geometric problems in machine learning has necessitated the ...

Selena Ling, et al. ∙

research

∙ 02/16/2022

Learning Smooth Neural Functions via Lipschitz Regularization

Neural implicit fields have recently emerged as a useful representation ...

Hsueh-Ti Derek Liu, et al. ∙

research

∙ 02/05/2022

Spelunking the Deep: Guaranteed Queries on General Neural Implicit Surfaces via Range Analysis

Neural implicit representations, which encode a surface as the level set...

Nicholas Sharp, et al. ∙

research

∙ 11/09/2021

Breaking Good: Fracture Modes for Realtime Destruction

Drawing a direct analogy with the well-studied vibration or elastic mode...

Silvia Sellán, et al. ∙

research

∙ 09/24/2021

ILA: Compilable Markdown for Linear Algebra

Communicating linear algebra in written form is challenging: mathematici...

Yong Li, et al. ∙

research

∙ 06/09/2021

Interactive Modelling of Volumetric Musculoskeletal Anatomy

We present a new approach for modelling musculoskeletal anatomy. Unlike ...

Rinat Abdrashitov, et al. ∙

research

∙ 04/28/2021

Surface Multigrid via Intrinsic Prolongation

This paper introduces a novel geometric multigrid solver for unstructure...

Hsueh-Ti Derek Liu, et al. ∙

research

∙ 04/24/2021

Normal-Driven Spherical Shape Analogies

This paper introduces a new method to stylize 3D geometry. The key obser...

Hsueh-Ti Derek Liu, et al. ∙

research

∙ 01/26/2021

Neural Geometric Level of Detail: Real-time Rendering with Implicit 3D Shapes

Neural signed distance functions (SDFs) are emerging as an effective rep...

Towaki Takikawa, et al. ∙

research

∙ 11/11/2020

Diffusion Structures for Architectural Stripe Pattern Generation

We present Diffusion Structures, a family of resilient shell structures ...

Abhishek Madan, et al. ∙

research

∙ 11/03/2020

Learning Deformable Tetrahedral Meshes for 3D Reconstruction

3D shape representations that accommodate learning-based 3D reconstructi...

Jun Gao, et al. ∙

research

∙ 09/17/2020

On the Effectiveness of Weight-Encoded Neural Implicit 3D Shapes

A neural implicit outputs a number indicating whether the given query po...

Thomas Davies, et al. ∙

research

∙ 09/05/2020

Complementary Dynamics

We present a novel approach to enrich arbitrary rig animations with elas...

Jiayi Eris Zhang, et al. ∙

research

∙ 09/04/2020

Chordal Decomposition for Spectral Coarsening

We introduce a novel solver to significantly reduce the size of a geomet...

Honglin Chen, et al. ∙

research

∙ 06/15/2020

EMU: Efficient Muscle Simulation In Deformation Space

EMU is an efficient and scalable model to simulate bulk musculoskeletal ...

Vismay Modi, et al. ∙

research

∙ 06/10/2020

Least-Squares Affine Reflection Using Eigen Decomposition

This note summarizes the steps to computing the best-fitting affine refl...

Alec Jacobson, et al. ∙

research

∙ 05/04/2020

Neural Subdivision

This paper introduces Neural Subdivision, a novel framework for data-dri...

Hsueh-Ti Derek Liu, et al. ∙

research

∙ 04/30/2020

Levitating Rigid Objects with Hidden Support Structures

We propose a novel algorithm to efficiently generate hidden structures t...

Sarah Kushner, et al. ∙

research

∙ 04/06/2020

NiLBS: Neural Inverse Linear Blend Skinning

In this technical report, we investigate efficient representations of ar...

Timothy Jeruzalski, et al. ∙

research

∙ 11/19/2019

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

The biharmonic equation with Dirichlet and Neumann boundary conditions d...

Oded Stein, et al. ∙

research

∙ 10/07/2019

Cubic Stylization

We present a 3D stylization algorithm that can turn an input shape into ...

Hsueh-Ti Derek Liu, et al. ∙

research

∙ 08/03/2019

Learning to Predict 3D Objects with an Interpolation-based Differentiable Renderer

Many machine learning models operate on images, but ignore the fact that...

Wenzheng Chen, et al. ∙

research

∙ 07/23/2019

A system for efficient 3D printed stop-motion face animation

Computer animation in conjunction with 3D printing has the potential to ...

Rinat Abdrashitov, et al. ∙

research

∙ 06/13/2019

RodSteward: A Design-to-Assembly System for Fabrication using 3D-Printed Joints and Precision-Cut Rods

We present RodSteward, a design-to-assembly system for creating furnitur...

Alec Jacobson, et al. ∙

research

∙ 05/23/2019

A Smoothness Energy without Boundary Distortion for Curved Surfaces

Current quadratic smoothness energies for curved surfaces either exhibit...

Oded Stein, et al. ∙

research

∙ 05/08/2019

Spectral Coarsening of Geometric Operators

We introduce a novel approach to measure the behavior of a geometric ope...

Hsueh-Ti Derek Liu, et al. ∙

research

∙ 10/01/2018

Designing Volumetric Truss Structures

We present the first algorithm for designing volumetric Michell Trusses....

Rahul Arora, et al. ∙

research

∙ 08/08/2018

Adversarial Geometry and Lighting using a Differentiable Renderer

Many machine learning classifiers are vulnerable to adversarial attacks,...

Hsueh-Ti Derek Liu, et al. ∙

research

∙ 08/08/2018

Beyond Pixel Norm-Balls: Parametric Adversaries using an Analytically Differentiable Renderer

Many machine learning image classifiers are vulnerable to adversarial at...

Hsueh-Ti Derek Liu, et al. ∙

research

∙ 07/02/2018

Solid Geometry Processing on Deconstructed Domains

Many tasks in geometry processing are modeled as variational problems so...

Silvia Sellán, et al. ∙

research

∙ 07/13/2017

Natural Boundary Conditions for Smoothing in Geometry Processing

In geometry processing, smoothness energies are commonly used to model s...

Oded Stein, et al. ∙

research

∙ 05/16/2016

Thingi10K: A Dataset of 10,000 3D-Printing Models

Empirically validating new 3D-printing related algorithms and implementa...

Qingnan Zhou, et al. ∙

research

∙ 01/29/2016

Boolean Operations using Generalized Winding Numbers

The generalized winding number function measures insideness for arbitrar...

Alec Jacobson, et al. ∙

research

∙ 06/20/2014

Consistently Orienting Facets in Polygon Meshes by Minimizing the Dirichlet Energy of Generalized Winding Numbers

Jacobson et al. [JKSH13] hypothesized that the local coherency of the ge...

Kenshi Takayama, et al. ∙

Alec Jacobson

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