TL;DR本文提出了一种新的图卷积神经网络架构,用于 2D 到 3D 人体姿态估计任务,并使用多尺度、多级别特征表示的多尺度架构进行了实验,结果表明该模型优于现有技术,并取得了更好的表现。
Abstract
In this paper, we propose a novel graph convolutional network architecture,
Graph Stacked Hourglass Networks, for 2D-to-3D human pose estimation tasks. The
proposed architecture consists of repeated encoder-decod