Encoder-decoder recurrent network model for interactive character animation generation
Wang, Yumeng; Che, Wujun; Xu, Bo
刊名VISUAL COMPUTER
2017-06-01
卷号33期号:6-8页码:971-980
关键词Human-character Interaction Long Short-term Memory Encoder-decoder Character Animation Recurrent Neural Network Motion Capture Data
DOI10.1007/s00371-017-1378-5
文献子类Article
英文摘要In this paper, we propose a generative recurrent model for human-character interaction. Our model is an encoder-recurrent-decoder network. The recurrent network is composed by multiple layers of long short-term memory (LSTM) and is incorporated with an encoder network and a decoder network before and after the recurrent network. With the proposed model, the virtual character's animation is generated on the fly while it interacts with the human player. The coming animation of the character is automatically generated based on the history motion data of both itself and its opponent. We evaluated our model based on both public motion capture databases and our own recorded motion data. Experimental results demonstrate that the LSTM layers can help the character learn a long history of human dynamics to animate itself. In addition, the encoder-decoder networks can significantly improve the stability of the generated animation. This method can automatically animate a virtual character responding to a human player.
WOS关键词SHORT-TERM-MEMORY ; HUMAN MOTION
WOS研究方向Computer Science
语种英语
WOS记录号WOS:000402964800027
内容类型期刊论文
源URL[http://ir.ia.ac.cn/handle/173211/40798]  
专题数字内容技术与服务研究中心_听觉模型与认知计算
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GB/T 7714
Wang, Yumeng,Che, Wujun,Xu, Bo. Encoder-decoder recurrent network model for interactive character animation generation[J]. VISUAL COMPUTER,2017,33(6-8):971-980.
APA Wang, Yumeng,Che, Wujun,&Xu, Bo.(2017).Encoder-decoder recurrent network model for interactive character animation generation.VISUAL COMPUTER,33(6-8),971-980.
MLA Wang, Yumeng,et al."Encoder-decoder recurrent network model for interactive character animation generation".VISUAL COMPUTER 33.6-8(2017):971-980.
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