Learnable Triangulation of Human Pose

14 May 2019Karim IskakovEgor BurkovVictor LempitskyYury Malkov

We present two novel solutions for multi-view 3D human pose estimation based on new learnable triangulation methods that combine 3D information from multiple 2D views. The first (baseline) solution is a basic differentiable algebraic triangulation with an addition of confidence weights estimated from the input images... (read more)

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Evaluation results from the paper


 SOTA for 3D Human Pose Estimation on Human3.6M (using extra training data)

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Task Dataset Model Metric name Metric value Global rank Uses extra
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3D Human Pose Estimation Human3.6M Learnable Triangulation of Human Pose Average MPJPE (mm) 20.80 # 1