Physically valid statistical models for human motion generation
ACM Transactions on Graphics (TOG)
Retrieval and Visualization of Human Motion Data via Stick Figures
Computer Graphics Forum
Clothed and naked human shapes estimation from a single image
CVM'12 Proceedings of the First international conference on Computational Visual Media
The line of action: an intuitive interface for expressive character posing
ACM Transactions on Graphics (TOG)
Deformable model for estimating clothed and naked human shapes from a single image
The Visual Computer: International Journal of Computer Graphics
Sketching human character animations by composing sequences from large motion database
The Visual Computer: International Journal of Computer Graphics
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The authors present a data-driven algorithm for interactive 3D human-character posing. They formulate the problem in a maximum a posteriori (MAP) framework by combining the user's inputs with the priors embedded in prerecorded human poses. Maximizing the posterior probability lets them generate a most-likely human pose that satisfies the user constraints. The system can learn priors from a huge, heterogeneous human-motion-capture database (2.8 million prerecorded poses) and use them to generate a wide range of natural poses. No previous data-driven character-posing system has demonstrated this capability. In addition, the authors present two intuitive interfaces for interactive human-character posing: direct-manipulation interfaces and sketching interfaces. They show their system's superiority compared to standard inverse-kinematics techniques and alternative data-driven techniques.