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SIGGRAPH
2010
ACM
15 years 2 months ago
Learning behavior styles with inverse reinforcement learning
We present a method for inferring the behavior styles of character controllers from a small set of examples. We show that a rich set of behavior variations can be captured by dete...
Seong Jae Lee, Zoran Popovic
CGF
2008
177views more  CGF 2008»
14 years 9 months ago
Expressive Facial Gestures From Motion Capture Data
Human facial gestures often exhibit such natural stochastic variations as how often the eyes blink, how often the eyebrows and the nose twitch, and how the head moves while speaki...
Eunjung Ju, Jehee Lee
TOG
2008
111views more  TOG 2008»
14 years 9 months ago
Clone attack! Perception of crowd variety
When simulating large crowds, it is inevitable that the models and motions of many virtual characters will be cloned. However, the perceptual impact of this trade-off has never be...
Rachel McDonnell, Michéal Larkin, Simon Dob...
CGF
2004
82views more  CGF 2004»
14 years 9 months ago
Scalable Behaviors for Crowd Simulation
Crowd simulation for virtual environments offers many challenges centered on the trade-offs between rich behavior, control and computational cost. In this paper we present a new a...
Mankyu Sung, Michael Gleicher, Stephen Chenney
TOG
2002
123views more  TOG 2002»
14 years 9 months ago
A user interface for interactive cinematic shadow design
Placing shadows is difficult task since shadows depend on the relative positions of lights and objects in an unintuitive manner. To simplify the task of the modeler, we present a ...
Fabio Pellacini, Parag Tole, Donald P. Greenberg