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AGORA: Avatars in Geography Optimized for Regression Analysis

CVPR 2021 · 3D vision › Human pose estimation · approach: Human mesh recovery from images · 197 citations (OpenAlex)

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Measured effects reported in the paper

What was changedWhereMeasuredEffect
Fine-tune pretrained SPIN on AGORA rather than use SPIN-ptSPIN · 3DPW testset (14 joints)MPJPE: 96.9 -> 85.7Helped
Fine-tune pretrained SPIN on AGORA rather than use SPIN-ptSPIN · 3DPW testset (14 joints)PA-MPJPE: 59.3 -> 55.3Helped
Fine-tune pretrained SPIN on AGORA rather than use SPIN-ptSPIN · AGORA testset (24 joints)MPJPE: 175.1 -> 153.4Helped
Fine-tune SPIN on AGORA instead of EFT dataSPIN · 3DPW testset (14 joints)MPJPE: 97.4 -> 85.7Helped
Fine-tune SPIN on AGORA instead of EFT dataSPIN · AGORA testset (24 joints)MPJPE: 173.7 -> 153.4Helped
Use AGORA training images for fine-tuningSPIN · High-occlusion cases in AGORAMPJPEHelped
Interpolate the adult SMPL-X template with the infant SMIL template for child fits (ablation)SMPL-X child fitting · Child scan fittingbody shape fit accuracyHelped
Weight skin-cloth probability outside the robust loss instead of inside it (ablation)SMPL-X scan fitting · 100 scansskin error: 4.82mm -> 4.73mmNo clear effect
Weight skin-cloth probability outside the robust loss instead of inside it (ablation)SMPL-X scan fitting · 100 scanscloth error: 4.51mm -> 4.42mmNo clear effect

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