Synthesizing 3d gait data with personalized walking style and appearance

HIGHLIGHTS

  • who: Firstname Lastname and colleagues from the China Mobile (Hangzhou) Information Technology Co, Ltd, Hangzhou, China School of Informatics, Xiamen University, Xiamen, China have published the research work: Synthesizing 3D Gait Data with Personalized Walking Style and Appearance, in the Journal: (JOURNAL)
  • what: The authors propose a complete 3D framework to synthesize unlimited realistic and diverse motion data. The authors develop a semantic motion style exploration method that controls the motion style via a deep neural_network and interpolates motion sequences of different lengths. Contrary to the general motion editing method, the authors focus on synthesizing . . .

     

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