Visual simulation of smoke

By Ronald Fedkiw, J. Stam, Henrik Wann Jensen. International Conference on Computer Graphics and Interactive Techniques, 2001

1,065 citations recorded by the source corpus.

Subfields: Computational Mechanics, Computer Graphics and Computer-Aided Design, Computer Vision and Pattern Recognition

View Paper: https://www.semanticscholar.org/paper/37b2e6afef82476c5511f119d1b00766faf8f7d1

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Computational Mechanics

In Computer Graphics and Computer-Aided Design

In Computer Vision and Pattern Recognition

Citations in the corpus

Animating sand as a fluid (2005, methodology): “The excessive numerical dissipation in that work was later mitigated by Fedkiw et al[14] with higher order interpolation and vorticity confinement.”
Coupling water and smoke to thin deformable and rigid shells (2005, methodology): “[Fedkiw et al. 2001] increased the small scale details with the use of a vorticity confinement term.”
Simulation of cloud dynamics on graphics hardware (2003, positive): “Like the smoke that was the simulation goal of [Fedkiw, et al. 2001], convective clouds typically contain rotational flows at a variety of scales.”
An Unconditionally Stable MacCormack Method (2008, methodology): “For example, after [22] popularized the semi-Lagrangian method in the field of computer graphics, [9] showed that vorticity confinement [24] could be used to alleviate the high amount of dissipation allowing for visually intricate, albeit non-physical flows (see also [20] which used vortex particles”
GPGPU: general purpose computation on graphics hardware (2004, methodology): “Moving boundaries can even be incorporated, as in Fedkiw et al. 2001.”
Data‐driven projection method in fluid simulation (2016, methodology): “In addition, because our data-driven projection method is independent of other steps in traditional grid-based ﬂuid simulation procedure, it is general enough to be applied to other grid-based related ﬂuid simulation methods, such as vorticity conﬁnement [3] and synthetic turbulence [8].”
Simulating water and smoke with an octree data structure (2004, methodology): “Empowered by the semi-Lagrangian work of [Stam 1999], [Fedkiw et al. 2001] used vorticity confinement to simulate smoke with visually rich small scale rolling motions.”
Motion capture assisted animation: texturing and synthesis (2002, methodology): “These methods have been most useful for animating cloth deformations [7, 20], rigid objects [5, 6, 33], or fluids [21, 22] where the physics of the situation that determines the motion can clearly be specified.”
Unified particle physics for real-time applications (2014, methodology): “Grid-based methods have proved popular for animating gases and smoke, in particular [Stam 1999] and [Fedkiw et al. 2001].”
Linear algebra operators for GPU implementation of numerical algorithms (2003, methodology): “…in physics based simulation and modelling, and they have been frequently employed in computer graphics to provide realistic simulation of real-world phenomena [Kaas and Miller 1990; Chen and da Vito-ria Lobo 1995; Foster and Metaxas 1996; Stam 1999; Foster and Fedkiw 2001; Fedkiw et al. 2001].”
A novel algorithm for incompressible flow using only a coarse grid projection (2010, methodology): “Our algorithm for one-phase smoke proceeds as in [Fedkiw et al. 2001], except instead of solving the Poisson equation on the fine grid we do the following:”