Proceedings of the 26th annual conference on Computer graphics and interactive techniques
A multigrid tutorial (2nd ed.)
A multigrid tutorial (2nd ed.)
Proceedings of the 28th annual conference on Computer graphics and interactive techniques
CGI '97 Proceedings of the 1997 Conference on Computer Graphics International
Keyframe control of smoke simulations
ACM SIGGRAPH 2003 Papers
Fluid control using the adjoint method
ACM SIGGRAPH 2004 Papers
Coupling water and smoke to thin deformable and rigid shells
ACM SIGGRAPH 2005 Papers
Taming liquids for rapidly changing targets
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
Detail-preserving fluid control
Proceedings of the 2006 ACM SIGGRAPH/Eurographics symposium on Computer animation
TRACKS: toward directable thin shells
ACM SIGGRAPH 2007 papers
A fast variational framework for accurate solid-fluid coupling
ACM SIGGRAPH 2007 papers
Simulating whitewater rapids in Ratatouille
ACM SIGGRAPH 2007 sketches
Wavelet turbulence for fluid simulation
ACM SIGGRAPH 2008 papers
Flow simulations using particles: bridging computer graphics and CFD
ACM SIGGRAPH 2008 classes
Fast animation of turbulence using energy transport and procedural synthesis
ACM SIGGRAPH Asia 2008 papers
Fluid Simulation
Intel threading building blocks
Intel threading building blocks
Energy-preserving integrators for fluid animation
ACM SIGGRAPH 2009 papers
Evolving sub-grid turbulence for smoke animation
Proceedings of the 2008 ACM SIGGRAPH/Eurographics Symposium on Computer Animation
Low viscosity flow simulations for animation
Proceedings of the 2008 ACM SIGGRAPH/Eurographics Symposium on Computer Animation
A novel algorithm for incompressible flow using only a coarse grid projection
ACM SIGGRAPH 2010 papers
Guide shapes for high resolution naturalistic liquid simulation
ACM SIGGRAPH 2011 papers
Preview-based sampling for controlling gaseous simulations
SCA '11 Proceedings of the 2011 ACM SIGGRAPH/Eurographics Symposium on Computer Animation
Pattern-guided smoke animation with lagrangian coherent structure
Proceedings of the 2011 SIGGRAPH Asia Conference
A data-driven approach for synthesizing high-resolution animation of fire
Proceedings of the Digital Production Symposium
Synthesizing waves from animated height fields
ACM Transactions on Graphics (TOG)
Controlling liquids using meshes
EUROSCA'12 Proceedings of the 11th ACM SIGGRAPH / Eurographics conference on Computer Animation
Controlling liquids using meshes
Proceedings of the ACM SIGGRAPH/Eurographics Symposium on Computer Animation
Closest point turbulence for liquid surfaces
ACM Transactions on Graphics (TOG)
A two-continua approach to Eulerian simulation of water spray
ACM Transactions on Graphics (TOG) - SIGGRAPH 2013 Conference Proceedings
Automated sampling and control of gaseous simulations
The Visual Computer: International Journal of Computer Graphics
The Visual Computer: International Journal of Computer Graphics
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We propose a novel approach to guiding of Eulerian-based smoke animations through coupling of simulations at different grid resolutions. Specifically we present a variational formulation that allows smoke animations to adopt the low-frequency features from a lower resolution simulation (or non-physical synthesis), while simultaneously developing higher frequencies. The overall motivation for this work is to address the fact that art-direction of smoke animations is notoriously tedious. Particularly a change in grid resolution can result in dramatic changes in the behavior of smoke animations, and existing methods for guiding either significantly lack high frequency detail or may result in undesired features developing over time. Provided that the bulk movement can be represented satisfactorily at low resolution, our technique effectively allows artists to prototype simulations at low resolution (where computations are fast) and subsequently add extra details without altering the overall "look and feel". Our implementation is based on a customized multi-grid solver with memory-efficient data structures.