3D Multi-Person Pose Estimation (absolute)

3 papers with code • 1 benchmarks • 1 datasets

This task aims to solve absolute 3D multi-person pose Estimation (camera-centric coordinates). No ground truth human bounding box and human root joint coordinates are used during testing stage.

( Image credit: RootNet )


Greatest papers with code

Graph and Temporal Convolutional Networks for 3D Multi-person Pose Estimation in Monocular Videos

3dpose/GnTCN 22 Dec 2020

To tackle this problem, we propose a novel framework integrating graph convolutional networks (GCNs) and temporal convolutional networks (TCNs) to robustly estimate camera-centric multi-person 3D poses that do not require camera parameters.

3D Absolute Human Pose Estimation 3D Multi-Person Pose Estimation (absolute) +5

HDNet: Human Depth Estimation for Multi-Person Camera-Space Localization

jiahaoLjh/HumanDepth ECCV 2020

Current works on multi-person 3D pose estimation mainly focus on the estimation of the 3D joint locations relative to the root joint and ignore the absolute locations of each pose.

3D Multi-Person Pose Estimation (absolute) 3D Multi-Person Pose Estimation (root-relative) +3