Dynamic Upsampling of Smoke through Dictionary-based Learning

21 Oct 2019Kai BaiWei LiMathieu DesbrunXiaopei Liu

Simulating turbulent smoke flows is computationally intensive due to their intrinsic multiscale behavior, thus requiring relatively high resolution grids to fully capture their complexity. For iterative editing or simply faster generation of smoke flows, dynamic upsampling of an input low-resolution numerical simulation is an attractive, yet currently unattainable goal... (read more)

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