GraphMLP: A Graph MLP-Like Architecture for 3D Human Pose Estimation

06/13/2022
by   Wenhao Li, et al.
0

Modern multi-layer perceptron (MLP) models have shown competitive results in learning visual representations without self-attention. However, existing MLP models are not good at capturing local details and lack prior knowledge of human configurations, which limits their modeling power for skeletal representation learning. To address these issues, we propose a simple yet effective graph-reinforced MLP-Like architecture, named GraphMLP, that combines MLPs and graph convolutional networks (GCNs) in a global-local-graphical unified architecture for 3D human pose estimation. GraphMLP incorporates the graph structure of human bodies into an MLP model to meet the domain-specific demand while also allowing for both local and global spatial interactions. Extensive experiments show that the proposed GraphMLP achieves state-of-the-art performance on two datasets, i.e., Human3.6M and MPI-INF-3DHP. Our source code and pretrained models will be publicly available.

READ FULL TEXT

page 6

page 13

page 14

page 23

page 24

research
04/27/2023

Interweaved Graph and Attention Network for 3D Human Pose Estimation

Despite substantial progress in 3D human pose estimation from a single-v...
research
03/30/2021

Graph Stacked Hourglass Networks for 3D Human Pose Estimation

In this paper, we propose a novel graph convolutional network architectu...
research
07/12/2023

GLA-GCN: Global-local Adaptive Graph Convolutional Network for 3D Human

3D human pose estimation has been researched for decades with promising ...
research
10/09/2022

AMPose: Alternatively Mixed Global-Local Attention Model for 3D Human Pose Estimation

The graph convolutional network (GCN) has been applied to 3D human pose ...
research
11/23/2021

Hierarchical Graph Networks for 3D Human Pose Estimation

Recent 2D-to-3D human pose estimation works tend to utilize the graph st...
research
12/27/2013

Learning Human Pose Estimation Features with Convolutional Networks

This paper introduces a new architecture for human pose estimation using...
research
08/10/2023

Double-chain Constraints for 3D Human Pose Estimation in Images and Videos

Reconstructing 3D poses from 2D poses lacking depth information is parti...

Please sign up or login with your details

Forgot password? Click here to reset