A data-driven approach for synthesizing high-resolution animation of fire.

We propose a simple and efficient data-driven method for synthesizing high-resolution 3D animations of fire from low-resolution fluid simulations. Our method is based on grid-based fluid simulation. The key concept behind our method is to use a precomputed database of high-resolution velocity fields in order to produce small-scale details that are lost in low-resolution velocity fields. The database is constructed by 2D fluid simulation and no high-resolution 3D fluid simulations need to be executed. At run-time, a low-resolution 3D fluid simulation is executed and the velocity field calculated at each time step is approximated by a linear combination of the precomputed velocity fields. This approximation process produces realistic small-scale detail. Using our method, users can efficiently design animations of fire with low-resolution simulation and our method converts them into high-resolution animations. We examine the ability of our method by applying it to simulations of fire under various situations including moving obstacles.