The amount of 3D data is growing at an incredible rate, from scans to user-generated assets. However, many important geometry processing algorithms are not ready to handle this data, failing on low-quality inputs encountered in the wild. In this …
This lecture teaches how to apply Newton's laws to build up a framework for a physics simulation, and then gives a gentle introduction to numerical integration for animating common physics systems with a few interactive examples. After laying down …
The irrefutable success of deep learning on structured data (such as images and text) has sparked significant interest in its applicability to problems in geometry processing. In this talk, we will discuss the key challenges and current solutions for …