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cs.LG2022★ 12 cited
Guaranteed Conservation of Momentum for Learning Particle-based Fluid Dynamics
Lukas Prantl, Benjamin Ummenhofer, Vladlen Koltun +1
We present a novel method for guaranteeing linear momentum in learned physics simulations. Unlike existing methods, we enforce conservation of momentum with a hard constraint, whic…
cs.LG2022
Wavelet-based Loss for High-frequency Interface Dynamics
Lukas Prantl, Jan Bender, Tassilo Kugelstadt +1
Generating highly detailed, complex data is a long-standing and frequently considered problem in the machine learning field. However, developing detail-aware generators remains an…