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Automatic temporal clothing deformation prediction: applicable to variable shape and motion

文献类型：期刊论文

作者Shi, Min2,3; Zhuo, Xinru3; Mao, Tianlu4; Zhu, Dengming4; Shao, Xinyan1
刊名TEXTILE RESEARCH JOURNAL
出版日期2023-06-23
页码16
关键词Clothing simulation deep learning computer graphics transformer
ISSN号0040-5175
DOI10.1177/00405175231178049
英文摘要Simulating temporal three-dimensional (3D) deformations of clothing worn by the human body is a core technology in computer graphics that plays a vital role in various fields, such as computer games, animation, and movies. Physics-based simulation and data-driven methods are two mainstream technologies used to generate clothing deformation. However, when it is necessary to quickly generate clothing animations of different body shapes and motions, the existing methods cannot balance efficiency and effectiveness. In this paper, we present a learning-based method, given human body shape and motion, which automatically synthesizes temporal 3D deformations of clothing in real-time. A temporal framework based on the transformer is designed to capture the correlation between clothing deformation and shape features of the moving human body, as well as the frame-level dependency. A feature fusion strategy is an innovation used to fuse the two features of shape and motion. We also perform post-processing on the penetration of clothing and the human body, generating collision-free cloth deformation sequences. To evaluate the method, we build a human motion dataset based on the large-scale public human body dataset AMASS, and further develop a clothing deformation dataset. We qualitatively and quantitatively demonstrate that our approach outperforms existing methods in terms of temporal clothing deformation with variable shape and motion, as well as producing realistic deformation at interactive rates.
资助项目National Natural Science Foundation of China[61972379]
WOS研究方向Materials Science
语种英语
WOS记录号WOS:001014554200001
出版者SAGE PUBLICATIONS LTD
源URL[http://119.78.100.204/handle/2XEOYT63/21235]  
专题中国科学院计算技术研究所期刊论文_英文
通讯作者Shi, Min
作者单位1.Beijing Inst Fash Technol, Beijing, Peoples R China
2.North China Elect Power, Beijing 102206, Peoples R China
3.North China Elect Power Univ, Sch Control & Comp Engn, Beijing, Peoples R China
4.Chinese Acad Sci, Inst Comp Technol, Beijing, Peoples R China
推荐引用方式
GB/T 7714		 Shi, Min,Zhuo, Xinru,Mao, Tianlu,et al. Automatic temporal clothing deformation prediction: applicable to variable shape and motion[J]. TEXTILE RESEARCH JOURNAL,2023:16.
APA Shi, Min,Zhuo, Xinru,Mao, Tianlu,Zhu, Dengming,&Shao, Xinyan.(2023).Automatic temporal clothing deformation prediction: applicable to variable shape and motion.TEXTILE RESEARCH JOURNAL,16.
MLA Shi, Min,et al."Automatic temporal clothing deformation prediction: applicable to variable shape and motion".TEXTILE RESEARCH JOURNAL (2023):16.

入库方式： OAI收割

来源：计算技术研究所

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