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 […]

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 […]

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 […]

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 […]

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 […]

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 […]

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 […]