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PC-HMR: Pose Calibration for 3D Human Mesh Recovery from 2D Images/Videos

AAAI 2021 · 3D vision › Human pose estimation · approach: Human mesh recovery from images · 27 citations (OpenAlex)

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Measured effects reported in the paper

What was changedWhereMeasuredEffect
add pose calibration to HMRHMR · Human3.6MMPVE: 96.1 -> 61.1Helped
add pose calibration to HMRHMR · 3DPWMPVE: 152.7 -> 108.6Helped
add pose calibration to HMRHMR · SURREALMPVE: 85.1 -> 59.8Helped
add the non-rigid term to pose calibration (ablation)PC-HMR · Human3.6MMPVE: 69.3 -> 61.1Helped
fine-tune the entire framework after training modules separately (ablation)PC-HMR · Human3.6MMPVE: 85.5 -> 61.1Helped
replace the template mesh with an HMR mesh stream (ablation)PC-HMR · Human3.6MMPVE: 125.72 -> 61.1Helped
use ground-truth 3D pose instead of estimated 3D pose (ablation)PC-HMR · Human3.6MMPVE: 61.1 -> 29.9Helped
add an estimated rotation around each bone (ablation)PC-HMR · Human3.6MMPVE: 61.1 -> 61.0No clear effect
add shape compensation (ablation)PC-HMR · Human3.6MMPVE: 61.2 -> 61.1Helped
use VideoPose3D rather than SemanticGCN as the 2D-to-3D pose lifter (ablation)parallel PC-HMR with HMR mesh generator and CPN · Human3.6MMPVE: 79.0 -> 61.1Helped
use HMR rather than HMMR as the mesh generator with VideoPose3D (ablation)parallel PC-HMR with CPN · Human3.6MMPVE: 61.1 -> 61.1No clear effect

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