Building skeleton models via 3-D medial surface/axis thinning algorithms
CVGIP: Graphical Models and Image Processing
Proceedings of the 26th annual conference on Computer graphics and interactive techniques
Proceedings of the 28th annual conference on Computer graphics and interactive techniques
Keyframe control of smoke simulations
ACM SIGGRAPH 2003 Papers
ACM SIGGRAPH 2004 Papers
Fluid control using the adjoint method
ACM SIGGRAPH 2004 Papers
Modeling and editing flows using advected radial basis functions
SCA '04 Proceedings of the 2004 ACM SIGGRAPH/Eurographics symposium on Computer animation
Controllable smoke animation with guiding objects
ACM Transactions on Graphics (TOG)
Controlling fluid animation with geometric potential: Research Articles
Computer Animation and Virtual Worlds - Special Issue: The Very Best Papers from CASA 2004
A vortex particle method for smoke, water and explosions
ACM SIGGRAPH 2005 Papers
ACM SIGGRAPH 2005 Papers
Simulation of smoke based on vortex filament primitives
Proceedings of the 2005 ACM SIGGRAPH/Eurographics symposium on Computer animation
Advections with Significantly Reduced Dissipation and Diffusion
IEEE Transactions on Visualization and Computer Graphics
Stable, circulation-preserving, simplicial fluids
ACM Transactions on Graphics (TOG)
Detail-preserving fluid control
Proceedings of the 2006 ACM SIGGRAPH/Eurographics symposium on Computer animation
Path-based control of smoke simulations
Proceedings of the 2006 ACM SIGGRAPH/Eurographics symposium on Computer animation
Efficient Visualization of Lagrangian Coherent Structures by Filtered AMR Ridge Extraction
IEEE Transactions on Visualization and Computer Graphics
Efficient Computation and Visualization of Coherent Structures in Fluid Flow Applications
IEEE Transactions on Visualization and Computer Graphics
Wavelet turbulence for fluid simulation
ACM SIGGRAPH 2008 papers
An Unconditionally Stable MacCormack Method
Journal of Scientific Computing
Fast animation of turbulence using energy transport and procedural synthesis
ACM SIGGRAPH Asia 2008 papers
Energy-preserving integrators for fluid animation
ACM SIGGRAPH 2009 papers
Modular bases for fluid dynamics
ACM SIGGRAPH 2009 papers
Guiding of smoke animations through variational coupling of simulations at different resolutions
Proceedings of the 2009 ACM SIGGRAPH/Eurographics Symposium on Computer Animation
Synthetic turbulence using artificial boundary layers
ACM SIGGRAPH Asia 2009 papers
Evolving sub-grid turbulence for smoke animation
Proceedings of the 2008 ACM SIGGRAPH/Eurographics Symposium on Computer Animation
Filament-based smoke with vortex shedding and variational reconnection
ACM SIGGRAPH 2010 papers
Scalable fluid simulation using anisotropic turbulence particles
ACM SIGGRAPH Asia 2010 papers
Interactive Separating Streak Surfaces
IEEE Transactions on Visualization and Computer Graphics
A data-driven approach for synthesizing high-resolution animation of fire
Proceedings of the Digital Production Symposium
Closest point turbulence for liquid surfaces
ACM Transactions on Graphics (TOG)
Automated sampling and control of gaseous simulations
The Visual Computer: International Journal of Computer Graphics
Interactive localized liquid motion editing
ACM Transactions on Graphics (TOG)
The Visual Computer: International Journal of Computer Graphics
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Fluid animation practitioners face great challenges from the complexity of flow dynamics and the high cost of numerical simulation. A major hindrance is the uncertainty of fluid behavior after simulation resolution increases and extra turbulent effects are added. In this paper, we propose to regulate fluid animations with predesigned flow patterns. Animators can design their desired fluid behavior with fast, low-cost simulations. Flow patterns are then extracted from the results by the Lagrangian Coherent Structure (LCS) that represents major flow skeleton. Therefore, the final high-quality animation is confined towards the designed behavior by applying the patterns to drive high-resolution and turbulent simulations. The pattern regulation is easily computed and achieves controllable variance in the output. The method makes it easy to design special fluid effects, which increases the usability and scalability of various advanced fluid modeling technologies.