25 citations · 81 across the 14 of their papers we have counts for
16 papers
Love Handles: Decimation for Deformation Handles with Compact Support and Low Memory Footprints
David IW Levin, Paul Kry, Kartic Subr +3
Estimating the deformation of solids via physical simulation is an important problem spanning fields such as computer animation, engineering and robotics. Such simulations are comp…
Data-Free Learning of Reduced-Order Kinematics
Nicholas Sharp, Cristian Romero, Alec Jacobson +4
Physical systems ranging from elastic bodies to kinematic linkages are defined on high-dimensional configuration spaces, yet their typical low-energy configurations are concentrate…
Multi-Agent Path Planning with Asymmetric Interactions In Tight Spaces
Vismay Modi, Yixin Chen, Abhishek Madan +2
By starting with the assumption that motion is fundamentally a decision making problem, we use the world-line concept from Special Relativity as the inspiration for a novel multi-a…
Neural Collision Detection for Deformable Objects
Ryan S. Zesch, Bethany R. Witemeyer, Ziyan Xiong +2
We propose a neural network-based approach for collision detection with deformable objects. Unlike previous approaches based on bounding volume hierarchies, our neural approach doe…
Mixed Variational Finite Elements for Implicit, General-Purpose Simulation of Deformables
Ty Trusty, Danny M. Kaufman, David I W Levin
We propose and explore a new, general-purpose method for the implicit time integration of elastica. Key to our approach is the use of a mixed variational principle. In turn its fin…
Computational Design of Active 3D-Printed Multi-State Structures for Shape Morphing
Thomas S. Lumpe, Michael Tao, Kristina Shea +1
Active structures have the ability to change their shape, properties, and functionality as a response to changing operational conditions, which makes them more versatile than their…
Fast Evaluation of Smooth Distance Constraints on Co-Dimensional Geometry
Abhishek Madan, David I. W. Levin
We present a new method for computing a smooth minimum distance function based on the LogSumExp function for point clouds, edge meshes, triangle meshes, and combinations of all thr…
Interactive Modelling of Volumetric Musculoskeletal Anatomy
Rinat Abdrashitov, Seungbae Bang, David I. W. Levin +2
We present a new approach for modelling musculoskeletal anatomy. Unlike previous methods, we do not model individual muscle shapes as geometric primitives (polygonal meshes, NURBS…
Diffusion Structures for Architectural Stripe Pattern Generation
Abhishek Madan, Alec Jacobson, David I. W. Levin
We present Diffusion Structures, a family of resilient shell structures from the eigenfunctions of a pair of novel diffusion operators. This approach is based on Michell's theorem…
Chordal Decomposition for Spectral Coarsening
Honglin Chen, Hsueh-Ti Derek Liu, Alec Jacobson +1
We introduce a novel solver to significantly reduce the size of a geometric operator while preserving its spectral properties at the lowest frequencies. We use chordal decompositio…
Complementary Dynamics
Jiayi Eris Zhang, Seungbae Bang, David I. W. Levin +1
We present a novel approach to enrich arbitrary rig animations with elastodynamic secondary effects. Unlike previous methods which pit rig displacements and physical forces as adve…
EMU: Efficient Muscle Simulation In Deformation Space
Vismay Modi, Lawson Fulton, Shinjiro Sueda +2
EMU is an efficient and scalable model to simulate bulk musculoskeletal motion with heterogenous materials. First, EMU requires no model reductions, or geometric coarsening, thereb…
Levitating Rigid Objects with Hidden Rods and Wires
Sarah Kushner, Risa Ulinski, Karan Singh +2
We propose a novel algorithm to efficiently generate hidden structures to support arrangements of floating rigid objects. Our optimization finds a small set of rods and wires betwe…
NiLBS: Neural Inverse Linear Blend Skinning
Timothy Jeruzalski, David I. W. Levin, Alec Jacobson +3
In this technical report, we investigate efficient representations of articulated objects (e.g. human bodies), which is an important problem in computer vision and graphics. To def…
Convolutional Humanoid Animation via Deformation
John Kanji, David I. W. Levin
In this paper we present a new deep learning-driven approach to image-based synthesis of animations involving humanoid characters. Unlike previous deep approaches to image-based an…
Designing Volumetric Truss Structures
Rahul Arora, Alec Jacobson, Timothy R. Langlois +6
We present the first algorithm for designing volumetric Michell Trusses. Our method uses a parametrization approach to generate trusses made of structural elements aligned with the…