The 19th annual Symposium on Computer Animation 2020 - Symposium Proceedings
Online Symposium, October 6 – 9, 2020

(for Posters see SCA 2020 - Posters
for Showcases see SCA 2020 - Showcases)


Fluids 1
A Hybrid Lagrangian/Eulerian Collocated Velocity Advection and Projection Method for Fluid Simulation
Steven Gagniere, David Hyde, Alan Marquez-Razon, Chenfanfu Jiang, Ziheng Ge, Xuchen Han, Qi Guo, and Joseph Teran
Latent Space Subdivision: Stable and Controllable Time Predictions for Fluid Flow
Steffen Wiewel, Byungsoo Kim, Vinicius Azevedo, Barbara Solenthaler, and Nils Thuerey
Efficient 2D Simulation on Moving 3D Surfaces
Dieter Morgenroth, Stefan Reinhardt, Daniel Weiskopf, and Bernhard Eberhardt
Waves
Interactive Sound Propagation For Dynamic Scenes Using 2d Wave Simulation
Matthew Rosen, Keith W. Godin, and Nikunj Raghuvanshi
Making Procedural Water Waves Boundary-aware
Stefan Jeschke, Christian Hafner, Nuttapong Chentanez, Miles Macklin, Matthias Müller-Fischer, and Chris Wojtan
Fluids 2
Effective Time Step Restrictions for Explicit MPM Simulation
Yunxin Sun, Tamar Shinar, and Craig Schroeder
A Divergence-free Mixture Model for Multiphase Fluids
Yuntao Jiang, Chenfeng Li, Shujie Deng, and Shi-Min Hu
Particle-based Liquid Control using Animation Templates
Arnaud Schoentgen, Pierre Poulin, Emmanuelle Darles, and Philippe Meseure
Rigid Bodies
Primal/Dual Descent Methods for Dynamics
Miles Macklin, Kenny Erleben, Matthias Müller, Nuttapong Chentanez, Stefan Jeschke, and Tae-Yong Kim
Detailed Rigid Body Simulation with Extended Position Based Dynamics
Matthias Müller, Miles Macklin, Nuttapong Chentanez, Stefan Jeschke, and Tae-Yong Kim
Distant Collision Response in Rigid Body Simulations
Eulalie Coevoet, Sheldon Andrews, Denali Relles, and Paul G. Kry
Data-Driven Cloth
Cloth and Skin Deformation with a Triangle Mesh Based Convolutional Neural Network
Nuttapong Chentanez, Miles Macklin, Matthias Müller, Stefan Jeschke, and Tae-Yong Kim
A Pixel-Based Framework for Data-Driven Clothing
Ning Jin, Yilin Zhu, Zhenglin Geng, and Ron Fedkiw
Fully Convolutional Graph Neural Networks for Parametric Virtual Try-On
Raquel Vidaurre, Igor Santesteban, Elena Garces, Dan Casas
Cloth and Deformable Solids
Higher-Order Time Integration for Deformable Solids
Fabian Löschner, Andreas Longva, Stefan Jeske, Tassilo Kugelstadt, and Jan Bender
A Finite Element Formulation of Baraff-Witkin Cloth
Theodore Kim
A Bending Model for Nodal Discretizations of Yarn-Level Cloth
José María Pizana, Alejandro Rodríguez, Gabriel Cirio, and Miguel A. Otaduy
Character Animation 1
Linear Time Stable PD Controllers for Physics-based Character Animation
Zhiqi Yin and KangKang Yin
Statistics-based Motion Synthesis for Social Conversations
Yanzhe Yang, Jimei Yang, and Jessica Hodgins
ALLSTEPS: Curriculum-driven Learning of Stepping Stone Skills
Zhaoming Xie, Hung Yu Ling, Nam Hee Kim, and Michiel van de Panne
Character Animation 2
Probabilistic Character Motion Synthesis using a Hierarchical Deep Latent Variable Model
Saeed Ghorbani, Calden Wloka, Ali Etemad, Marcus A. Brubaker, and Nikolaus F. Troje
Intuitive Facial Animation Editing Based On A Generative RNN Framework
Eloïse Berson, Catherine Soladié, and Nicolas Stoiber

Recent Submissions

  • Intuitive Facial Animation Editing Based On A Generative RNN Framework 

    Berson, Eloïse; Soladié, Catherine; Stoiber, Nicolas (The Eurographics Association and John Wiley & Sons Ltd., 2020)
    For the last decades, the concern of producing convincing facial animation has garnered great interest, that has only been accelerating with the recent explosion of 3D content in both entertainment and professional activities. ...
  • Probabilistic Character Motion Synthesis using a Hierarchical Deep Latent Variable Model 

    Ghorbani, Saeed; Wloka, Calden; Etemad, Ali; Brubaker, Marcus A.; Troje, Nikolaus F. (The Eurographics Association and John Wiley & Sons Ltd., 2020)
    We present a probabilistic framework to generate character animations based on weak control signals, such that the synthesized motions are realistic while retaining the stochastic nature of human movement. The proposed ...
  • ALLSTEPS: Curriculum-driven Learning of Stepping Stone Skills 

    Xie, Zhaoming; Ling, Hung Yu; Kim, Nam Hee; Panne, Michiel van de (The Eurographics Association and John Wiley & Sons Ltd., 2020)
    Humans are highly adept at walking in environments with foot placement constraints, including stepping-stone scenarios where footstep locations are fully constrained. Finding good solutions to stepping-stone locomotion is ...
  • Statistics-based Motion Synthesis for Social Conversations 

    Yang, Yanzhe; Yang, Jimei; Hodgins, Jessica (The Eurographics Association and John Wiley & Sons Ltd., 2020)
    Plausible conversations among characters are required to generate the ambiance of social settings such as a restaurant, hotel lobby, or cocktail party. In this paper, we propose a motion synthesis technique that can rapidly ...
  • Linear Time Stable PD Controllers for Physics-based Character Animation 

    Yin, Zhiqi; Yin, KangKang (The Eurographics Association and John Wiley & Sons Ltd., 2020)
    In physics-based character animation, Proportional-Derivative (PD) controllers are commonly used for tracking reference motions in motor control tasks. Stable PD (SPD) controllers significantly improve the numerical stability ...
  • A Bending Model for Nodal Discretizations of Yarn-Level Cloth 

    Pizana, José María; Rodríguez, Alejandro; Cirio, Gabriel; Otaduy, Miguel A. (The Eurographics Association and John Wiley & Sons Ltd., 2020)
    To deploy yarn-level cloth simulations in production environments, it is paramount to design very efficient implementations, which mitigate the cost of the extremely high resolution. To this end, nodal discretizations ...
  • A Finite Element Formulation of Baraff-Witkin Cloth 

    Kim, Theodore (The Eurographics Association and John Wiley & Sons Ltd., 2020)
    The Baraff-Witkin [BW98] model has been a popular formulation for cloth for 20 years. However, its relationship to the finite element method (FEM) has always been unclear, because the model resists being written as an ...
  • Higher-Order Time Integration for Deformable Solids 

    Löschner, Fabian; Longva, Andreas; Jeske, Stefan; Kugelstadt, Tassilo; Bender, Jan (The Eurographics Association and John Wiley & Sons Ltd., 2020)
    Visually appealing and vivid simulations of deformable solids represent an important aspect of physically based computer animation. For the temporal discretization, it is customary in computer animation to use first-order ...
  • Fully Convolutional Graph Neural Networks for Parametric Virtual Try-On 

    Vidaurre, Raquel; Santesteban, Igor; Garces, Elena; Casas, Dan (The Eurographics Association and John Wiley & Sons Ltd., 2020)
    We present a learning-based approach for virtual try-on applications based on a fully convolutional graph neural network. In contrast to existing data-driven models, which are trained for a specific garment or mesh topology, ...
  • A Pixel-Based Framework for Data-Driven Clothing 

    Jin, Ning; Zhu, Yilin; Geng, Zhenglin; Fedkiw, Ron (The Eurographics Association and John Wiley & Sons Ltd., 2020)
    We propose a novel approach to learning cloth deformation as a function of body pose, recasting the graph-like triangle mesh data structure into image-based data in order to leverage popular and well-developed convolutional ...
  • Cloth and Skin Deformation with a Triangle Mesh Based Convolutional Neural Network 

    Chentanez, Nuttapong; Macklin, Miles; Müller, Matthias; Jeschke, Stefan; Kim, Tae-Yong (The Eurographics Association and John Wiley & Sons Ltd., 2020)
    We introduce a triangle mesh based convolutional neural network. The proposed network structure can be used for problems where input and/or output are defined on a manifold triangle mesh with or without boundary. We ...
  • Distant Collision Response in Rigid Body Simulations 

    Coevoet, Eulalie; Andrews, Sheldon; Relles, Denali; Kry, Paul G. (The Eurographics Association and John Wiley & Sons Ltd., 2020)
    We use a finite element model to predict the vibration response of objects in a rigid body simulation, such that rigid objects are augmented to provide a plausible elastic collision response between distant objects due to ...
  • Detailed Rigid Body Simulation with Extended Position Based Dynamics 

    Müller, Matthias; Macklin, Miles; Chentanez, Nuttapong; Jeschke, Stefan; Kim, Tae-Yong (The Eurographics Association and John Wiley & Sons Ltd., 2020)
    We present a rigid body simulation method that can resolve small temporal and spatial details by using a quasi explicit integration scheme that is unconditionally stable. Traditional rigid body simulators linearize constraints ...
  • Primal/Dual Descent Methods for Dynamics 

    Macklin, Miles; Erleben, Kenny; Müller, Matthias; Chentanez, Nuttapong; Jeschke, Stefan; Kim, Tae-Yong (The Eurographics Association and John Wiley & Sons Ltd., 2020)
    We examine the relationship between primal, or force-based, and dual, or constraint-based formulations of dynamics. Variational frameworks such as Projective Dynamics have proved popular for deformable simulation, however ...
  • Particle-based Liquid Control using Animation Templates 

    Schoentgen, Arnaud; Poulin, Pierre; Darles, Emmanuelle; Meseure, Philippe (The Eurographics Association and John Wiley & Sons Ltd., 2020)
    It is notoriously difficult for artists to control liquids while generating plausible animations. We introduce a new liquid control tool that allows users to load, transform, and apply precomputed liquid simulation templates ...
  • A Divergence-free Mixture Model for Multiphase Fluids 

    Jiang, Yuntao; Li, Chenfeng; Deng, Shujie; Hu, Shi-Min (The Eurographics Association and John Wiley & Sons Ltd., 2020)
    We present a novel divergence free mixture model for multiphase flows and the related fluid-solid coupling. The new mixture model is built upon a volume-weighted mixture velocity so that the divergence free condition is ...
  • Effective Time Step Restrictions for Explicit MPM Simulation 

    Sun, Yunxin; Shinar, Tamar; Schroeder, Craig (The Eurographics Association and John Wiley & Sons Ltd., 2020)
    Time steps for explicit MPM simulation in computer graphics are often selected by trial and error due to the challenges in automatically selecting stable time step sizes. Our time integration scheme uses time step restrictions ...
  • Making Procedural Water Waves Boundary-aware 

    Jeschke, Stefan; Hafner, Christian; Chentanez, Nuttapong; Macklin, Miles; Müller-Fischer, Matthias; Wojtan, Chris (The Eurographics Association and John Wiley & Sons Ltd., 2020)
    The ''procedural'' approach to animating ocean waves is the dominant algorithm for animating larger bodies of water in interactive applications as well as in off-line productions - it provides high visual quality with a ...
  • Interactive Sound Propagation For Dynamic Scenes Using 2d Wave Simulation 

    Rosen, Matthew; Godin, Keith W.; Raghuvanshi, Nikunj (The Eurographics Association and John Wiley & Sons Ltd., 2020)
    We present a technique to model wave-based sound propagation to complement visual animation in fully dynamic scenes. We employ 2D wave simulation that captures geometry-based diffraction effects such as obstruction, ...
  • Efficient 2D Simulation on Moving 3D Surfaces 

    Morgenroth, Dieter; Reinhardt, Stefan; Weiskopf, Daniel; Eberhardt, Bernhard (The Eurographics Association and John Wiley & Sons Ltd., 2020)
    We present a method to simulate fluid flow on evolving surfaces, e.g., an oil film on a water surface. Given an animated surface (e.g., extracted from a particle-based fluid simulation) in three-dimensional space, we add ...

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