3D Multi-Person Pose Estimation (absolute)
12 papers with code • 1 benchmarks • 2 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 )
MuPoTS-3D
Relative Human
Most implemented papers
Dual networks based 3D Multi-Person Pose Estimation from Monocular Video
3dpose/3D-Multi-Person-Pose
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Most of the methods focus on single persons, which estimate the poses in the person-centric coordinates, i. e., the coordinates based on the center of the target person.
VirtualPose: Learning Generalizable 3D Human Pose Models from Virtual Data
wkom/virtualpose
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While monocular 3D pose estimation seems to have achieved very accurate results on the public datasets, their generalization ability is largely overlooked.
