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Found 2 papers, 2 papers with code
Self-Supervised Learning of 3D Human Pose using Multi-view Geometry
Training accurate 3D human pose estimators requires large amount of 3D ground-truth data which is costly to collect.
Ranked #1 on
Weakly-supervised 3D Human Pose Estimation
on Human3.6M
(Number of Frames Per View metric)
Self-Supervised Learning
Weakly-supervised 3D Human Pose Estimation
MultiPoseNet: Fast Multi-Person Pose Estimation using Pose Residual Network
In this paper, we present MultiPoseNet, a novel bottom-up multi-person pose estimation architecture that combines a multi-task model with a novel assignment method.
Ranked #8 on
Multi-Person Pose Estimation
on MS COCO
