SIG

Using the digital computer to simulate dynamic behavior of elastic and soft objects is a highly desired feature in many scientific and engineering areas: in computer animation, it provides realistic effects of soft characters; in surgical simulation, it delivers vivid visual experiences to the trainee; in digital fabrication, it couples geometry design and mechanical analysis. […]

This talk will cover how Pixar's crowds pipeline evolved from "A Bug's Life" to "Onward", and how the studio's artists and engineers refined and re-invented their tools over the years to create memorable animated crowd scenes.  We'll cover the progression from finite state machine control, to agent based crowd simulation, to sketch based workflows, using […]

Choosing suitable data representations is one of the most critical topics when installing machine learning on 3D data. This talk discusses several recent works on utilizing uncertainty as a lens to develop suitable data representations and formulations for geometry reconstruction and understanding. We will discuss both theoretical results and applications in multi-scan registration, pose estimation, […]

Pixar's films rely heavily on physically simulated effects such as the motion of hairs, cloth, and water, to cite a few. Whereas physical accuracy is of paramount importance in engineering applications, the most important aspects of feature film productions are directability and speed. In this talk, I'll survey our recent work in this area, including […]

Computer graphics is often used to visualize complex imagery for the film and game industries, however, computer graphics can also be used to solve a diverse set of transdisciplinary problems. In this talk, I will introduce research that bridges building energy modeling and simulation and computer graphics. Buildings are a leading contributor to total energy […]

Behavior modeling is an important area of research as it severs many applications and disciplines; it expands on our knowledge of human behavior as well as allows us to develop novel AI entities that adapts to its users or mimics them. This area of research is by definition interdisciplinary and has stimulated interest from multiple […]