Fluid Control with Localized Spacetime Windows
Yixin Chen, David I.W. Levin, Timothy R. Langlois

TL;DR
This paper introduces a physics-based fluid control method that uses localized spacetime windows and optimization to improve simulation performance and integration with particle-based methods.
Contribution
It extends force-based spacetime control to larger scales by optimizing localized control regions with CMA-ES and decoupling control from simulation dimensionality.
Findings
Effective control in 2D and 3D particle simulations
Improved performance through localized spacetime windows
Seamless integration with particle-based methods
Abstract
We present a physics-based fluid control method utilizing localized spacetime windows, extending force-based spacetime control to simulation scales that were previously intractable. Building on the observation that optimal control force distributions are often localized, we show that operating only in a localized spacetime window around the edit of interest can improve performance. To determine the optimal spacetime window size, we employ the Covariance Matrix Adaptation Evolution Strategy (CMA-ES) method to search for the optimal temporal window size within a user-defined spatial region. Instead of using a Lagrangian representation, we optimize and apply control forces on a "floating" background grid, decoupling the control dimensionality from the simulation and enabling seamless integration with particle-based methods. Moreover, since the boundary conditions of the localized areas are…
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Taxonomy
TopicsComputer Graphics and Visualization Techniques · 3D Shape Modeling and Analysis · Lattice Boltzmann Simulation Studies
