Encoder-decoder recurrent network model for interactive character animation generation
Wang, Yumeng1,2; Che, Wujun1; Xu, Bo1
2017-06-01
发表期刊VISUAL COMPUTER
卷号33期号:6-8页码:971-980
文章类型Article
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.
关键词Human-character Interaction Long Short-term Memory Encoder-decoder Character Animation Recurrent Neural Network Motion Capture Data
WOS标题词Science & Technology ; Technology
DOI10.1007/s00371-017-1378-5
关键词[WOS]SHORT-TERM-MEMORY ; HUMAN MOTION
收录类别SCI ; ISTP
语种英语
项目资助者National Natural Science Foundation of China(61471359) ; National Key Technology R&D Program of China(2015BAH53F01)
WOS研究方向Computer Science
WOS类目Computer Science, Software Engineering
WOS记录号WOS:000402964800027
引用统计
被引频次:1[WOS]   [WOS记录]     [WOS相关记录]
文献类型期刊论文
条目标识符http://ir.ia.ac.cn/handle/173211/14513
专题数字内容技术与服务研究中心_听觉模型与认知计算
作者单位1.Chinese Acad Sci, Inst Automat, Beijing, Peoples R China
2.Univ Chinese Acad Sci, Beijing, Peoples R China
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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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