Interactive motion generation from examples
Proceedings of the 29th annual conference on Computer graphics and interactive techniques
Interactive control of avatars animated with human motion data
Proceedings of the 29th annual conference on Computer graphics and interactive techniques
Snap-together motion: assembling run-time animations
I3D '03 Proceedings of the 2003 symposium on Interactive 3D graphics
Flexible automatic motion blending with registration curves
Proceedings of the 2003 ACM SIGGRAPH/Eurographics symposium on Computer animation
Precomputing avatar behavior from human motion data
SCA '04 Proceedings of the 2004 ACM SIGGRAPH/Eurographics symposium on Computer animation
Learning to move autonomously in a hostile world
SIGGRAPH '05 ACM SIGGRAPH 2005 Sketches
Fat graphs: constructing an interactive character with continuous controls
Proceedings of the 2006 ACM SIGGRAPH/Eurographics symposium on Computer animation
Precomputed search trees: planning for interactive goal-driven animation
Proceedings of the 2006 ACM SIGGRAPH/Eurographics symposium on Computer animation
Proceedings of the 2007 symposium on Interactive 3D graphics and games
Quick transitions with cached multi-way blends
Proceedings of the 2007 symposium on Interactive 3D graphics and games
Near-optimal character animation with continuous control
ACM SIGGRAPH 2007 papers
Construction and optimal search of interpolated motion graphs
ACM SIGGRAPH 2007 papers
ACM SIGGRAPH Asia 2009 papers
Real-time planning for parameterized human motion
Proceedings of the 2008 ACM SIGGRAPH/Eurographics Symposium on Computer Animation
Achieving good connectivity in motion graphs
Proceedings of the 2008 ACM SIGGRAPH/Eurographics Symposium on Computer Animation
CUDA by Example: An Introduction to General-Purpose GPU Programming
CUDA by Example: An Introduction to General-Purpose GPU Programming
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We present an online algorithm for interactive character animation in realtime. Interactive character animation is to select a sequence of actions that perform well. Each action sequence is evaluated by the sum of discounted costs over a finite horizon. A large number of action sequences are evaluated simultaneously by parallelization of genetic algorithms on GPU. Benefiting from the power of parallel computing on modern GPU, our method produces high quality animations in realtime.