Monthly Archives: August 2013

Jia Pan, Xinyu Zhang, Dinesh Manocha We present a new method for efficiently computing the global penetration depth between two rigid objects using machine learning techniques. Our approach consists of two phases: offline learning and performing run-time queries. In the … Continue reading →

Alexey Stomakhin, Craig Schroeder, Lawrence Chai, Joseph Teran, Andrew Selle Snow is a challenging natural phenomenon to visually simulate. While the graphics community has previously considered accumulation and rendering of snow, animation of snow dynamics has not been fully addressed. Additionally, existing … Continue reading →

Tobias Pfaff, Nils Thuerey, Theodore Kim Over the last decade, the special effects industry has embraced physics simulations as a highly useful tool for creating realistic scenes ranging from a small camp fire to the large scale destruction of whole … Continue reading →

Ke-Sen’s full list here. Without further ado: Physics-based Animation of Large-scale Splashing Liquids Fast Simulation of Mass-Spring Systems Inverse Dynamic Hair Modeling with Frictional Contacts Versatile Surface Tension and Adhesion for SPH Fluids Efficient Penetration Depth Approximation using Active Learning … Continue reading →