Author Archives: christopherbatty

High-Order Elasticity Interpolants for Microstructure Simulation

Antoine Chan-Lock, Jesús Pérez, Miguel A. Otaduy We propose a novel formulation of elastic materials based on high-order interpolants, which fits accurately complex elastic behaviors, but remains conservative. The proposed high-order interpolants can be regarded as a high-dimensional extension of … Continue reading

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Differentiable Simulation for Outcome-Driven Orthognathic Surgery Planning

D. Dorda, D. Peter, D. Borer, N.B. Huber, I. Sailer, M. Gross, B. Solenthaler, B. Thomaszewski Algorithms at the intersection of computer graphics and medicine have recently gained renewed attention. A particular interest are methods for virtual surgery planning (VSP), … Continue reading

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Voronoi Filters for Simulation Enrichment

Juan J. Casafranca, Miguel A. Otaduy The simulation of complex deformation problems often requires enrichment techniques that introduce local high-resolution detail on a generally coarse discretization. The use cases include spatial or temporal refinement of the discretization, the simulation of … Continue reading

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Wassersplines for Neural Vector Field–Controlled Animation

Zhang, Paul, Dmitriy Smirnov, Justin Solomon Much of computer-generated animation is created by manipulating meshes with rigs. While this approach works well for animating articulated objects like animals, it has limited flexibility for animating less structured free-form objects. We introduce … Continue reading

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Stability Analysis of Explicit MPM

Song Bai, Craig Schroeder In this paper we analyze the stability of the explicit material point method (MPM). We focus on PIC, APIC, and CPIC transfers using quadratic and cubic splines in two and three dimensions. We perform a fully … Continue reading

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Fast Numerical Coarsening with Local Factorizations

Zhongyun He, Jesús Pérez, Miguel A. Otaduy Numerical coarsening methods offer an attractive methodology for fast simulation of objects with high-resolution heterogeneity. However, they rely heavily on preprocessing, and are not suitable when objects undergo dynamic material or topology updates. … Continue reading

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Analytically Integratable Zero-restlength Springs for Capturing Dynamic Modes unrepresented by Quasistatic Neural Networks

Yongxu Jin , Yushan Han , Zhenglin Geng , Joseph Teran , Ronald Fedkiw We present a novel paradigm for modeling certain types of dynamic simulation in real-time with the aid of neural networks. In order to significantly reduce the … Continue reading

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Compact Poisson Filters for Fast Fluid Simulation

Amir Hossein Rabbani, Jean-Philippe Guertin , Damien Rioux-Lavoie, Arnaud Schoentgen, Kaitai Tong, Alexandre Sirois-Vigneux, Derek Nowrouzezahrai Poisson equations appear in many graphics settings including, but not limited to, physics-based fluid simulation. Numerical solvers for such problems strike context-specific memory, performance, … Continue reading

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Implicit Neural Representation for Physics-driven Actuated Soft Bodies

Lingchen Yang, Byungsoo Kim, Gaspard Zoss, Baran Gözcü, Markus Gross, Barbara Solenthaler Active soft bodies can affect their shape through an internal actuation mechanism that induces a deformation. Similar to recent work, this paper utilizes a differentiable, quasi-static, and physics-based … Continue reading

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Simulation and Optimization of Magnetoelastic Thin Shells

Xuwen Chen, Xingyu Ni, Bo Zhu, Bin Wang, Baoquan Chen Magnetoelastic thin shells exhibit great potential in realizing versatile functionalities through a broad range of combination of material stiffness, remnant magnetization intensity, and external magnetic stimuli. In this paper, we … Continue reading

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