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• W2032893275 abstract "This paper presents a generative human motion model for synthesis, retargeting, and editing of personalized human motion styles. We first record a human motion database from multiple actors performing a wide variety of motion styles for particular actions. We then apply multilinear analysis techniques to construct a generative motion model of the form x = g(a, e) for particular human actions, where the parameters a and e control identity and style variations of the motion x respectively. The new modular representation naturally supports motion generalization to new actors and/or styles. We demonstrate the power and flexibility of the multilinear motion models by synthesizing personalized stylistic human motion and transferring the stylistic motions from one actor to another. We also show the effectiveness of our model by editing stylistic motion in style and/or identity space." @default.
• W2032893275 created "2016-06-24" @default.
• W2032893275 creator A5013289017 @default.
• W2032893275 creator A5029417447 @default.
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• W2032893275 date "2010-02-19" @default.
• W2032893275 modified "2023-09-30" @default.
• W2032893275 title "Synthesis and editing of personalized stylistic human motion" @default.
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• W2032893275 doi "https://doi.org/10.1145/1730804.1730811" @default.
• W2032893275 hasPublicationYear "2010" @default.
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