Particle-based Liquid Control using Animation Templates

Arnaud Schoentgen, Pierre Poulin, Emmanuelle Darles, Philippe Meseure 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 in a scene in order to control a particle-based simulation. Each template instance generates control […]

An Extended Cut-cell method for Sub-Grid Liquids Tracking with Surface Tension

Yi-Lu Chen, Jonathan Meier, Barbara Solenthaler, Vinicius C. Azevedo Simulating liquid phenomena utilizing Eulerian frameworks is challenging, since highly energetic flows often induce severe topological changes, creating thin and complex liquid surfaces. Thus, capturing structures that are small relative to the grid size become intractable, since continually increasing the resolution will scale sub-optimally due to […]

Higher-Order Time Integration for Deformable Solids

Fabian Löschner, Andreas Longva, Stefan Jeske, Tassilo Kugelstadt, Jan Bender 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 accurate integration methods, such as Backward Euler, due to their simplicity and robustness. Although there […]

Detailed Rigid Body Simulation with Extended Position Based Dynamics

Matthias Müller, Miles Macklin, Nuttapong Chentanez, Stefan Jeschke, Tae-Yong Kim 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 because they operate on the velocity level or solve the equations of motion […]

Primal/Dual Descent Methods for Dynamics

Miles Macklin, Kenny Erleben, Matthias Müller-Fischer, Nuttapong Chentanez, Stefan Jeschke, Tae-Yong Kim 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 they have not been adopted for contact-rich scenarios such as rigid body simulation. We propose […]

Making Procedural Water Waves Boundary-aware

Stefan Jeschke, Christian Hafner, Nuttapong Chentanez, Miles Macklin, Matthias Muller-Fischer, Chris Wojtan 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 low computational demand. In this paper, we widen the […]

Latent Space Subdivision: Stable and Controllable Time Predictions for Fluid Flow

Steffen Weiwel, Byungsoo Kim, Vinicius C. Azevedo, Barbara Solenthaler, Nils Thuerey We propose an end-to-end trained neural network architecture to robustly predict the complex dynamics of fluid flows with high temporal stability. We focus on single-phase smoke simulations in 2D and 3D based on the incompressible Navier-Stokes (NS) equations, which are relevant for a wide […]

Symposium on Computer Animation 2020

All the SCA papers , physics-related and otherwise, along with their presentation videos, are on the SCA conference site. (Below I try to link to author pages, as usual.) Distant Collision Response in Rigid Body Simulations A Bending Model for Nodal Discretizations of Yarn-Level Cloth A Hybrid Lagrangian/Eulerian Collocated Velocity Advection and Projection Method for […]

Distant Collision Response in Rigid Body Simulations

Eulalie Coevoet, Sheldon Andrews, Denali Relles, Paul G. Kry 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 vibration. We start with a generalized eigenvalue decomposition of the […]

A Bending Model for Nodal Discretizations of Yarn-Level Cloth

José M. Pizana, Alejandro Rodríguez, Gabriel Cirio, Miguel A. Otaduy 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 aligned with the regularity of the fabric structure provide an optimal setting for efficient GPU implementations. […]