Survey of 3D human pose estimation and mesh recovery using deep learning
Survey of 3D human pose estimation and mesh recovery using deep learning
Deep Learning for 3D Human Pose Estimation and Mesh Recovery: A Survey
arXiv paper abstract https://arxiv.org/abs/2402.18844
arXiv PDF paper https://arxiv.org/pdf/2402.18844.pdf
Project page https://github.com/liuyangme/SOTA-3DHPE-HMR
3D human pose estimation and mesh recovery have attracted widespread research interest in many areas, such as computer vision, autonomous driving
... Deep learning on 3D human pose estimation and mesh recovery has recently thrived, with numerous methods proposed to address different problems in this area.
... present a comprehensive review of recent progress over the past five years in deep learning methods for this area by delving into over 200 references.
... this survey is arguably the first to comprehensively cover deep learning methods for 3D human pose estimation, including both single-person and multi-person approaches, as well as human mesh recovery, encompassing methods based on explicit models and implicit representations.
... also present comparative results on several publicly available datasets, together with insightful observations and inspiring future research directions ...
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