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Jul, 2021
条件有向图卷积用于三维人体姿态估计
Conditional Directed Graph Convolution for 3D Human Pose Estimation
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Wenbo Hu, Changgong Zhang, Fangneng Zhan, Lei Zhang, Tien-Tsin Wong
TL;DR
本文提出一种基于有向图模型的U型结构的条件有向图卷积网络,用于从单目视频中进行3D人体姿势估计,实验结果表明有向图模型可以更好地利用人体骨骼的层次结构,而条件连接可以为不同的姿态产生自适应的图拓扑。
Abstract
graph convolutional networks
have significantly improved 3D
human pose estimation
by representing the human skeleton as an undirected graph. However, this representation fails to reflect the articulated character
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