BriefGPT.xyz
Mar, 2021
基于图形堆叠沙漏网络的三维人体姿态估计
Graph Stacked Hourglass Networks for 3D Human Pose Estimation
HTML
PDF
Tianhan Xu, Wataru Takano
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
→