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EllipBody: A Light-weight and Part-based Representation for Human Pose and Shape Recovery [article]

Min Wang, Feng Qiu, Wentao Liu, Chen Qian, Xiaowei Zhou, Lizhuang Ma
2020 arXiv   pre-print
Human pose and shape recovery is an important task in computer vision and real-world understanding. Current works are tackled due to the lack of 3D annotations for whole body shapes.  ...  To further improve the efficiency of the task, we propose a light-weight body model called EllipBody, which uses ellipsoids to indicate each body part.  ...  . • We propose an intermediate human body representation (EllipBody) for human pose and shape recovery.  ... 
arXiv:2003.10873v1 fatcat:bwp3nfnjyfflvgav37onhvhahe

Recent Advances in Monocular 2D and 3D Human Pose Estimation: A Deep Learning Perspective [article]

Wu Liu, Qian Bao, Yu Sun, Tao Mei
2021 arXiv   pre-print
We believe this survey will provide the readers with a deep and insightful understanding of monocular human pose estimation.  ...  Recently, benefited from the deep learning technologies, a significant amount of research efforts have greatly advanced the monocular human pose estimation both in 2D and 3D areas.  ...  They represent the representative paradigms. 2) We provide insightful analyses for human 3D representation, 3D datasets, 3D shape recovery methods, as well as the challenges and further work for 3D pose  ... 
arXiv:2104.11536v1 fatcat:tdag2jq2vjdrjekwukm5nu7l6a

Recent Advances of Monocular 2D and 3D Human Pose Estimation: A Deep Learning Perspective

Wu Liu, Tao Mei
2022 ACM Computing Surveys  
In this paper, we provide a comprehensive and holistic 2D-to-3D perspective to tackle this problem. Firstly, we comprehensively summarize the 2D and 3D representations of human body.  ...  Recently, benefiting from the deep learning technologies, a significant amount of research efforts have advanced the monocular human pose estimation both in 2D and 3D areas.  ...  They represent the representative paradigms. 2) We provide insightful analyses for human 3D representation, 3D datasets, 3D shape recovery methods, as well as the challenges and further work for 3D pose  ... 
doi:10.1145/3524497 fatcat:4pbvntngrnfp7lqhcpjmy7p2fq