Jeruzalski, TimothyFiume, EugeneJacobson, AlecLevin, David I.W.Bernhard Thomaszewski and KangKang Yin and Rahul Narain2017-12-312017-12-312017978-1-4503-5091-4https://doi.org/10.1145/3099564.3106643https://diglib.eg.org:443/handle/10.1145/3099564-3106643Methods to compress simulation data are invaluable as they facilitate efficient transmission along the visual effects pipeline, fast and efficient replay of simulations for visualization and enable storage of scientific data. However, all current approaches to compressing simulation data require access to the entire dynamic simulation, leading to large memory requirements and additional computational burden. In this paper we perform physics-based simulation compression in an online fashion, requiring access to only a narrow window of simulation data at a time and achieving good agreement with the original simulation.Computing methodologiesAnimationSimulation toolsPhysical simulationSimulation compressionRigid bodyAnimation10.1145/3099564.3106643Timothy Jeruzalski, Eugene Fiume, Alec Jacobson, and David I.W. Levin-Computing methodologies - Animation; Simulation tools; Physical simulation; Simulation compression, Rigid body, Animation