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End-to-End Human Pose and Mesh Reconstruction with Transformers

CVPR 2021 · 3D vision › Human pose estimation · approach: Human mesh recovery from images · 707 citations (OpenAlex)

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Measured effects reported in the paper

What was changedWhereMeasuredEffect
Use METRO instead of VIBE3DPW single-image human mesh reconstruction · 3DPW testMPVE: 99.1 -> 88.2Helped
Use METRO instead of VIBE3DPW single-image human pose reconstruction · 3DPW testMPJPE: 82.0 -> 77.1Helped
Use METRO instead of VIBE3DPW human mesh reconstruction · 3DPW testPA-MPJPE: 51.9 -> 47.9Helped
Use METRO instead of the strongest listed baselineHuman3.6M human pose reconstruction · Human3.6M testMPJPE: 55.7 -> 54.0Helped
Use METRO instead of the strongest listed baselineHuman3.6M human pose reconstruction · Human3.6M testPA-MPJPE: 39.3 -> 36.7Helped
Use METRO instead of I2LMeshNetFreiHAND mesh reconstruction · FreiHAND testPA-MPVPE: 7.6 -> 6.3Helped
Use METRO instead of I2LMeshNetFreiHAND pose reconstruction · FreiHAND testPA-MPJPE: 7.4 -> 6.5Helped
Add Masked Vertex Modeling (ablation)METRO · Human3.6MPA-MPJPE: 39.1 -> 36.7Helped
Increase maximum masked-query percentage from 0% to 30% (ablation)METRO · Human3.6MPA-MPJPE: 39.1 -> 36.7Helped
Increase maximum masked-query percentage from 30% to 40% (ablation)METRO · Human3.6MPA-MPJPE: 36.7 -> 38.2Hurt
Use HRNet-W64 instead of ResNet50 (ablation)METRO · Human3.6MPA-MPJPE: 40.6 -> 36.7Helped
Use progressive dimensionality reduction instead of direct projection (ablation)Transformer mesh regression · Human3.6M validationPA-MPJPE: 208.7 -> 36.7Helped

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