Directable photorealistic liquids

Rasmussen, Nick; Enright, Doug; Nguyen, Duc; Marino, Sebastian; Sumner, N.; Geiger, Willi; Hoon, Son Ki; Fedkiw, Ronald

doi:10.1145/1028523.1028549

Cited by 161 publications

(112 citation statements)

References 54 publications

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“…We performed a similar test to that of Rasmussen et al [15]. Figure 6, and the accompanying video, show two circular water bodies about to collide.…”

Section: Divergence-free Extrapolationmentioning

confidence: 98%

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Divergence‐constrained moving least squares for fluid simulation

Hong¹,

Yoon²,

Kim³

2008

Computer Animation & Virtual

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Developing suitable interpolation methods to simulate dynamic motions of continuous materials such as fluids is an important problem. In this paper, we propose a novel method to enforce the divergence condition to the interpolated velocity field by moving least squares, by means of the diffusive derivatives and moving divergence constraints that allow the practical use and easy implementation. As results, we present the velocity interpolation examples and a fluid-like particle simulation method to show the meaningful potential of our method as a tool of physical interpolation for fluid simulations.

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“…We performed a similar test to that of Rasmussen et al [15]. Figure 6, and the accompanying video, show two circular water bodies about to collide.…”

Section: Divergence-free Extrapolationmentioning

confidence: 98%

“…Divergence-free extrapolation was first proposed by Sussman [14] and introduced to computer graphics by Rasmussen et al [15] to enhance the mass conservation property and smoothness of water surfaces. We performed a similar test to that of Rasmussen et al [15].…”

Section: Divergence-free Extrapolationmentioning

confidence: 99%

Divergence‐constrained moving least squares for fluid simulation

Hong¹,

Yoon²,

Kim³

2008

Computer Animation & Virtual

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“…Similar approaches have also been used to design force fields to control fluids [Fattal and Lischinski 2004;Rasmussen et al 2004;Shi and Yu 2005;Thürey et al 2006] and elastic deformations [Sifakis et al 2005;Capell et al 2005]. However, all of these approaches have depended on manual tuning of control gains.…”

Section: Related Workmentioning

confidence: 99%

Real-time control of physically based simulations using gentle forces

Barbič¹

2008

ACM SIGGRAPH Asia 2008 Papers

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Figure 1: Real-time control ensures fixed simulation outcome regardless of runtime user forces: First: the rest configuration of the "T"-shape structure and the two target balls. Second: reference motion from an external simulator; the two ends of the "T" impact the two balls. Third: user-perturbed real-time simulation, without control. The two ends miss the target. Forth: controlled user-perturbed real-time simulation, with gentle control forces, tracks the reference motion and successfully impacts the target. The perturbation force load (green arrow; applied 1/5 through the simulation, only in the third and fourth motion) pushes the "T" in the opposite direction of motion. AbstractRecent advances have brought real-time physically based simulation within reach, but simulations are still difficult to control in real time. We present interactive simulations of passive systems such as deformable solids or fluids that are not only fast, but also directable: they follow given input trajectories while simultaneously reacting to user input and other unexpected disturbances. We achieve such directability using a real-time controller that runs in tandem with a real-time physically based simulation. To avoid stiff and overcontrolled systems where the natural dynamics are overpowered, the injection of control forces has to be minimized. This search for gentle forces can be made tractable in real-time by linearizing the system dynamics around the input trajectory, and then using a time-varying linear quadratic regulator to build the controller. We show examples of controlled complex deformable solids and fluids, demonstrating that our approach generates a requested fixed outcome for reasonable user inputs, while simultaneously providing runtime motion variety.

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“…Lagrangian particle or point-based methods, such as SPH, have also been applied to viscous and viscoplastic flows [Müller et al 2003;Müller et al 2004;Martin et al 2010]. Meanwhile, Eulerian methods for viscosity have been extended to support inhomogeneous viscosity, rotation, buckling effects, and adaptivity [Carlson et al 2002;Rasmussen et al 2004;Batty and Bridson 2008;Batty and Houston 2011].…”

Section: Introductionmentioning

confidence: 99%

Discrete viscous sheets

Batty

Uribe

Audoly³

et al. 2012

TOG

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Figure 1: A thin sheet of molten chocolate enrobes a spherical truffle. As viscous sheets deform they exhibit behaviors that combine both the fluidity of liquids, and the buckling and wrinkling instabilities of thin materials, as evidenced here in the beautiful spindly legs. AbstractWe present the first reduced-dimensional technique to simulate the dynamics of thin sheets of viscous incompressible liquid in three dimensions. Beginning from a discrete Lagrangian model for elastic thin shells, we apply the Stokes-Rayleigh analogy to derive a simple yet consistent model for viscous forces. We incorporate nonlinear surface tension forces with a formulation based on minimizing discrete surface area, and preserve the quality of triangular mesh elements through local remeshing operations. Simultaneously, we track and evolve the thickness of each triangle to exactly conserve liquid volume. This approach enables the simulation of extremely thin sheets of viscous liquids, which are difficult to animate with existing volumetric approaches. We demonstrate our method with examples of several characteristic viscous sheet behaviors, including stretching, buckling, sagging, and wrinkling.

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Directable photorealistic liquids

Abstract: We present a method for the directable animation of photorealistic liquids using the particle level set method to obtain smooth, visually pleasing complex liquid surfaces. We also provide for a degree of control common to particle-only

Cited by 161 publications

References 54 publications

Divergence‐constrained moving least squares for fluid simulation

Divergence‐constrained moving least squares for fluid simulation

Real-time control of physically based simulations using gentle forces

Discrete viscous sheets

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