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Weakly-Supervised 3D Human Pose Learning via Multi-View Images in the Wild

CVPR 2020 · 3D vision › Human pose estimation · approach: Monocular 2D-to-3D pose lifting · 121 citations (OpenAlex)

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Measured effects reported in the paper

What was changedWhereMeasuredEffect
Add 3DHP and MannequinChallenge multi-view data to H36M training (ablation)Weakly-supervised 3D pose estimator · Human3.6MMPJPE: 69.1 -> 67.4Helped
Add MannequinChallenge multi-view data to 3DHP multi-view training (ablation)Weakly-supervised 3D pose estimator · Human3.6M3D pose error (mm): 106.2 -> 93.6Helped
Use known camera extrinsics instead of estimating them from predictions (ablation)Weakly-supervised model with 2D-annotated multi-view data · Human3.6M3D pose error (mm): 59.3 -> 57.2Helped
Remove 2D pose annotations from multi-view training data (ablation)Weakly-supervised model using known camera extrinsics · Human3.6M3D pose error (mm): 57.2 -> 62.3Hurt
Remove 2D pose annotations from multi-view training data (ablation)Weakly-supervised model estimating camera extrinsics · Human3.6M3D pose error (mm): 59.3 -> 69.1Hurt
Add multi-view consistency to MPII-only 2D supervision (ablation)2D pose estimator · Human3.6M2D pose error (px): 8.9 -> 8.4Helped
Add multi-view consistency with known camera extrinsics to MPII-only 2D supervision (ablation)2D pose estimator · Human3.6M2D pose error (px): 8.9 -> 8.3Helped
Add additional weak supervision from 3DHP and MannequinChallenge (ablation)Fully supervised model · Human3.6MMPJPE: 55.5mm vs 56.1mmHurt
Add 3DHP and MannequinChallenge multi-view data (ablation)Semi-supervised model · Human3.6MMPJPE: 62.8mm -> 59.7mmHelped
Add 3DHP and MannequinChallenge multi-view data (ablation)Weakly-supervised model · Human3.6MMPJPE: 69.1mm -> 67.4mmHelped
Use MannequinChallenge data as the only multi-view training source (ablation)Weakly-supervised 3D pose estimator · Training convergenceconvergenceHurt

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