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Single-image clothed 3D human reconstruction guided by a well-aligned parametric body model

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成果类型:
期刊论文
作者:
Liu, Leyuan;Gao, Yunqi;Sun, Jianchi;Chen, Jingying
通讯作者:
Jingying Chen
作者机构:
[Liu, Leyuan; Sun, Jianchi; Gao, Yunqi; Chen, Jingying] Cent China Normal Univ, Natl Engn Res Ctr Elearning, Wuhan 430079, Peoples R China.
[Liu, Leyuan; Chen, Jingying] Cent China Normal Univ, Natl Engn Res Ctr Educ Big Data, Wuhan 430079, Peoples R China.
通讯机构:
[Jingying Chen] N
National Engineering Research Center for E-Learning, Central China Normal University, Wuhan, China<&wdkj&>National Engineering Research Center of Educational Big Data, Central China Normal University, Wuhan, China
语种:
英文
关键词:
Clothed 3D human reconstruction;Parametric body model;Single-image 3D reconstruction;Well-aligned model
期刊:
Multimedia Systems
ISSN:
0942-4962
年:
2023
卷:
29
期:
3
页码:
1579-1592
基金类别:
National Natural Science Foundation of China [62077026]; Fundamental Research Funds for the Central Universities [CCNU22QN012]
机构署名:
本校为第一机构
院系归属:
国家数字化学习工程技术研究中心
摘要:
Reconstructing clothed 3D human models from a single image is rather challenging, since the information about the invisible areas of a human being has to be "guessed" by algorithms. To reduce the difficulty, current state-of-the-art methods usually employ a parametric 3D body model to guide the clothed 3D human reconstruction. However, the quality of reconstructed clothed 3D human models heavily depends on the accuracy of the parametric body model. To address this problem, we propose to employ a well-aligned parametric body model to guide single-image clothed 3D human reconstruction. First, th...

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