Subspace Neural Physics: Fast Data-Driven Interactive Simulation

Daniel Holden, Bang Chi Duong, Sayantan Datta, Derek Nowrouzezahrai Data-driven methods for physical simulation are an attractive option for interactive applications due to their ability to trade precomputation and memory footprint in exchange for improved runtime performance. Yet, existing data-driven methods fall short of the extreme memory and performance constraints imposed by modern interactive applications […]

Building Accurate Physics-Based Face Models from Data

Peter Kadlecek, Ladislav Kavan The human face is an anatomical system exhibiting heterogenous and anisotropic mechanical behavior. This leads to complex deformations even in a neutral facial expression due to external forces such as gravity. We start by building a volumetric model from magnetic resonance images of a neutral facial expression. To obtain data on […]