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Learning 3D Human Dynamics From Video

CVPR 2019 · Video › Video segmentation and tracking · approach: Physics-inspired motion prediction · 563 citations (OpenAlex)

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Measured effects reported in the paper

What was changedWhereMeasuredEffect
Use temporal context rather than a single imageHMMR · 3DPWMPJPE: 130.0 -> 127.1Helped
Use temporal context rather than a single imageHMMR · 3DPWAccel Error: 37.4 -> 16.4Helped
Add auxiliary past and future pose-change prediction (ablation)HMMR temporal encoder · 3DPWMPJPE: 139.2 -> 127.1Helped
Add auxiliary past and future pose-change prediction (ablation)HMMR temporal encoder · Penn ActionPCK: 71.2 -> 77.9Helped
Add auxiliary past and future pose-change prediction (ablation)HMMR temporal encoder · 3DPWAccel Error: 15.2 -> 16.4Mixed
Add constant-shape loss (ablation)HMMR · 3DPWPA-MPJPE: 78.2 -> 80.1Helped
Add constant-shape loss (ablation)HMMR · Human3.6MMPJPE: 83.5 -> 87.0Mixed
Add VLOG pseudo-ground-truth 2D videoHMMR · 3DPWMPJPE: 127.1 -> 126.7Helped
Add InstaVariety pseudo-ground-truth 2D videoHMMR · 3DPWMPJPE: 127.1 -> 116.5Helped
Add InstaVariety pseudo-ground-truth 2D videoHMMR · NBAPCK: 68.4 -> 68.1Mixed
Add InstaVariety pseudo-ground-truth 2D videoHMMR · Human3.6MPA-MPJPE: 58.1 -> 56.9Helped
Use temporal context instead of local single-view inputHMMR · Penn ActionPCK: 73.2 -> 77.9Helped

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