A muscle model for animation three-dimensional facial expression
SIGGRAPH '87 Proceedings of the 14th annual conference on Computer graphics and interactive techniques
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Proceedings on Graphics interface '88
Synthesizing realistic facial expressions from photographs
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Geometry-based muscle modeling for facial animation
GRIN'01 No description on Graphics interface 2001
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Analysis, synthesis, and retargeting of facial expressions
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Analysis and synthesis of facial expressions with hand-generated muscle actuation basis
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Facial animation by optimized blendshapes from motion capture data
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SCA '11 Proceedings of the 2011 ACM SIGGRAPH/Eurographics Symposium on Computer Animation
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Compression and direct manipulation of complex blendshape models
Proceedings of the 2011 SIGGRAPH Asia Conference
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Spacetime expression cloning for blendshapes
ACM Transactions on Graphics (TOG)
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ACM Transactions on Graphics (TOG)
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Online modeling for realtime facial animation
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3D shape regression for real-time facial animation
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Realtime facial animation with on-the-fly correctives
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High fidelity facial animation capture and retargeting with contours
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Smooth contact-aware facial blendshapes transfer
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Reconstructing detailed dynamic face geometry from monocular video
ACM Transactions on Graphics (TOG)
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Sparse localized deformation components
ACM Transactions on Graphics (TOG)
Realtime Performance-Based Facial Avatars for Immersive Gameplay
Proceedings of Motion on Games
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We introduce a method for generating facial blendshape rigs from a set of example poses of a CG character. Our system transfers controller semantics and expression dynamics from a generic template to the target blendshape model, while solving for an optimal reproduction of the training poses. This enables a scalable design process, where the user can iteratively add more training poses to refine the blendshape expression space. However, plausible animations can be obtained even with a single training pose. We show how formulating the optimization in gradient space yields superior results as compared to a direct optimization on blendshape vertices. We provide examples for both hand-crafted characters and 3D scans of a real actor and demonstrate the performance of our system in the context of markerless art-directable facial tracking.