To appear in the ACM SIGGRAPH conference proceedings Modular Bases for Fluid Dynamics

Citations in the corpus

• A novel algorithm for incompressible flow using only a coarse grid projection (2010, background): “In order to handle very high resolution grids, [Wicke et al. 2009] introduces a reduced order model that can handle large grids at a small cost.”
• Pre-computed Liquid Spaces with Generative Neural Networks and Optical Flow (2017, methodology): “This approach was generalized to work with modular bases [Wicke et al. 2009], to include rendering effects [Gupta and Narasimhan 2007], and to accurately model the semi-Lagrangian transport commonly employed in graphics solvers [Kim and Delaney 2013].”
• FEM simulation of 3D deformable solids: a practitioner's guide to theory, discretization and model reduction (2012, background): “Wicke and colleagues [41] improved Treuille’s fluid method to support reduced fluid simulations on several (inter-connected) domains with specialized basis functions on each domain (domain decomposition for fluids).”
• Data-driven fluid simulations using regression forests (2015, methodology): “The method had been extended to very large simulation spaces [Wicke et al. 2009] by decomposing the problem into simulation tiles with the dynamics operating only on the low dimensional reduced space.”