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SimPoE: Simulated Character Control for 3D Human Pose Estimation

CVPR 2021 · 3D vision › Human pose estimation · approach: Transformer-based multi-view 3D pose · 129 citations (OpenAlex)

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Measured effects reported in the paper

What was changedWhereMeasuredEffect
Integrate kinematic inference with physics-based character control in a jointly learned policySimPoE · Human3.6MMPJPE: 57.3 -> 56.7Helped
Integrate kinematic inference with physics-based character control in a jointly learned policySimPoE · In-House Motion DatasetMPJPE: 36.7 -> 26.6Helped
Add meta-PD control to dynamically scale PD parameters (ablation)SimPoE · Human3.6M and In-House Motion Datasetpose accuracyHelped
Add the kinematic refinement unit using 2D keypoint evidence (ablation)SimPoE · Human3.6M and In-House Motion Datasetpose accuracyHelped
Add a residual connection from the refined kinematic pose to PD target angles (ablation)SimPoE · Human3.6M and In-House Motion Datasetpose accuracyHelped
Add residual forces and torques to the action (ablation)SimPoE · Human3.6M and In-House Motion DatasetAccelHelped
Add the feature extraction layer using current- and next-frame information (ablation)SimPoE · Human3.6M and In-House Motion Datasetpose accuracyHelped
Increase kinematic refinement iterations beyond about 5 (ablation)SimPoE · Human3.6M and In-House Motion Datasetpose accuracyNo clear effect

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