Self-Supervised Learning of 3D Human Pose using Multi-view Geometry

CVPR 2019 Muhammed KocabasSalih KaragozEmre Akbas

Training accurate 3D human pose estimators requires large amount of 3D ground-truth data which is costly to collect. Various weakly or self supervised pose estimation methods have been proposed due to lack of 3D data... (read more)

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Evaluation results from the paper


Task Dataset Model Metric name Metric value Global rank Compare
3D Human Pose Estimation Human3.6M Fully supervised EpipolarPose Average MPJPE (mm) 51.8 # 10
3D Human Pose Estimation Human3.6M Self supervised EpipolarPose Average MPJPE (mm) 55.0 # 13