SIGGRAPH '95 Proceedings of the 22nd annual conference on Computer graphics and interactive techniques
SIGGRAPH '95 Proceedings of the 22nd annual conference on Computer graphics and interactive techniques
GI '96 Proceedings of the conference on Graphics interface '96
Motion editing with spacetime constraints
Proceedings of the 1997 symposium on Interactive 3D graphics
Retargetting motion to new characters
Proceedings of the 25th annual conference on Computer graphics and interactive techniques
System identification (2nd ed.): theory for the user
System identification (2nd ed.): theory for the user
Physically based motion transformation
Proceedings of the 26th annual conference on Computer graphics and interactive techniques
A hierarchical approach to interactive motion editing for human-like figures
Proceedings of the 26th annual conference on Computer graphics and interactive techniques
Computational modeling for the computer animation of legged figures
SIGGRAPH '85 Proceedings of the 12th annual conference on Computer graphics and interactive techniques
Proceedings of the 27th annual conference on Computer graphics and interactive techniques
Computer puppetry: An importance-based approach
ACM Transactions on Graphics (TOG)
Turning to the masters: motion capturing cartoons
Proceedings of the 29th annual conference on Computer graphics and interactive techniques
Synthesis of complex dynamic character motion from simple animations
Proceedings of the 29th annual conference on Computer graphics and interactive techniques
Motion texture: a two-level statistical model for character motion synthesis
Proceedings of the 29th annual conference on Computer graphics and interactive techniques
Proceedings of the 29th annual conference on Computer graphics and interactive techniques
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
Motion capture assisted animation: texturing and synthesis
Proceedings of the 29th annual conference on Computer graphics and interactive techniques
Verbs and Adverbs: Multidimensional Motion Interpolation
IEEE Computer Graphics and Applications
Practical parameterization of rotations using the exponential map
Journal of Graphics Tools
Interpolation Synthesis for Articulated Figure Motion
VRAIS '97 Proceedings of the 1997 Virtual Reality Annual International Symposium (VRAIS '97)
Motion synthesis from annotations
ACM SIGGRAPH 2003 Papers
Layered acting for character animation
ACM SIGGRAPH 2003 Papers
Physical Touch-Up of Human Motions
PG '03 Proceedings of the 11th Pacific Conference on Computer Graphics and Applications
Learning to learn with the informative vector machine
ICML '04 Proceedings of the twenty-first international conference on Machine learning
Style-based inverse kinematics
ACM SIGGRAPH 2004 Papers
Automated extraction and parameterization of motions in large data sets
ACM SIGGRAPH 2004 Papers
Interpolating and approximating implicit surfaces from polygon soup
ACM SIGGRAPH 2004 Papers
A physically-based motion retargeting filter
ACM Transactions on Graphics (TOG)
Performance animation from low-dimensional control signals
ACM SIGGRAPH 2005 Papers
Geostatistical motion interpolation
ACM SIGGRAPH 2005 Papers
Learning physics-based motion style with nonlinear inverse optimization
ACM SIGGRAPH 2005 Papers
Style translation for human motion
ACM SIGGRAPH 2005 Papers
Spatial keyframing for performance-driven animation
Proceedings of the 2005 ACM SIGGRAPH/Eurographics symposium on Computer animation
Knowing when to put your foot down
I3D '06 Proceedings of the 2006 symposium on Interactive 3D graphics and games
Gaussian Processes for Machine Learning (Adaptive Computation and Machine Learning)
Gaussian Processes for Machine Learning (Adaptive Computation and Machine Learning)
Temporal motion models for monocular and multiview 3D human body tracking
Computer Vision and Image Understanding - Special issue on modeling people: Vision-based understanding of a person's shape, appearance, movement, and behaviour
Hierarchical Gaussian process latent variable models
Proceedings of the 24th international conference on Machine learning
Multifactor Gaussian process models for style-content separation
Proceedings of the 24th international conference on Machine learning
Constraint-based motion optimization using a statistical dynamic model
ACM SIGGRAPH 2007 papers
Construction and optimal search of interpolated motion graphs
ACM SIGGRAPH 2007 papers
Pose-timeline for propagating motion edits
Proceedings of the 2009 ACM SIGGRAPH/Eurographics Symposium on Computer Animation
Style learning and transferring for facial animation editing
Proceedings of the 2009 ACM SIGGRAPH/Eurographics Symposium on Computer Animation
Modeling spatial and temporal variation in motion data
ACM SIGGRAPH Asia 2009 papers
Augmenting hand animation with three-dimensional secondary motion
Proceedings of the 2010 ACM SIGGRAPH/Eurographics Symposium on Computer Animation
Animating non-humanoid characters with human motion data
Proceedings of the 2010 ACM SIGGRAPH/Eurographics Symposium on Computer Animation
Realtime performance-based facial animation
ACM SIGGRAPH 2011 papers
Physically valid statistical models for human motion generation
ACM Transactions on Graphics (TOG)
ACM Transactions on Interactive Intelligent Systems (TiiS)
Three-dimensional proxies for hand-drawn characters
ACM Transactions on Graphics (TOG)
Continuous character control with low-dimensional embeddings
ACM Transactions on Graphics (TOG) - SIGGRAPH 2012 Conference Proceedings
Proceedings of the ACM Symposium on Applied Perception
Motion graphs++: a compact generative model for semantic motion analysis and synthesis
ACM Transactions on Graphics (TOG) - Proceedings of ACM SIGGRAPH Asia 2012
Proceedings of the ACM Symposium on Applied Perception
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One way that artists create compelling character animations is by manipulating details of a character's motion. This process is expensive and repetitive. We show that we can make such motion editing more efficient by generalizing the edits an animator makes on short sequences of motion to other sequences. Our method predicts frames for the motion using Gaussian process models of kinematics and dynamics. These estimates are combined with probabilistic inference. Our method can be used to propagate edits from examples to an entire sequence for an existing character, and it can also be used to map a motion from a control character to a very different target character. The technique shows good generalization. For example, we show that an estimator, learned from a few seconds of edited example animation using our methods, generalizes well enough to edit minutes of character animation in a high-quality fashion. Learning is interactive: An animator who wants to improve the output can provide small, correcting examples and the system will produce improved estimates of motion. We make this interactive learning process efficient and natural with a fast, full-body IK system with novel features. Finally, we present data from interviews with professional character animators that indicate that generalizing and propagating animator edits can save artists significant time and work.