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CEE-Net: Complementary End-to-End Network for 3D Human Pose Generation and Estimation

AAAI 2023 · 3D vision › Human pose estimation · approach: Transformer-based multi-view 3D pose · 46 citations (OpenAlex)

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Measured effects reported in the paper

What was changedWhereMeasuredEffect
combine the CEE generator and CEE estimator end-to-endCEE-Net · 3DHPMPJPE: 71.2mm to 69.7mmHelped
combine the CEE generator and CEE estimator end-to-endCEE-Net · 3DPWPA-MPJPE: 79.3mm to 76.8mmHelped
use CEE-Net rather than DH-AUGHuman3.6M · Human3.6M Protocol #1MPJPE: 49.8 -> 47.3Helped
use CEE-Net rather than DH-AUGHuman3.6M · Human3.6M S1MPJPE: 52.2 -> 51.9Helped
use CEE-Net rather than DH-AUGHuman3.6M · Human3.6M S1+S5MPJPE: 47.0 -> 46.7Helped
add CEE pose augmentation to different pose estimators (ablation)SemGCN, MLP, ST-GCN, and VPose on 3DHP · 3DHPMPJPEHelped
add bone-angle transformation to PoseAug (ablation)PoseAug on 3DHP · 3DHPMPJPE: 86.6 -> 84.4 (-2.2)No clear effect
add bone-angle transformation using CEE-generator (ablation)CEE-generator on 3DHP · 3DHPMPJPE: 86.6 -> 81.5 (-5.1)Helped
add bone-angle, rigid-transform, and bone-length changes (ablation)CEE-generator on 3DHP · 3DHPMPJPE: 86.6 -> 71.4 (-15.2)Helped
add the joint-angle limit loss (ablation)CEE-Net · 3DHPMPJPE: 70.4 -> 69.7Helped
add the joint-angle limit loss (ablation)CEE-Net · 3DPWPA-MPJPE: 78.1 -> 76.8Helped
use adaptive interpolation rather than random rotation interpolation (ablation)CEE-Net · 3DHPPA-MPJPE: 70.5 -> 69.7Helped

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