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Research map / 3D vision / Face and shape

Learning to Reconstruct People in Clothing From a Single RGB Camera

CVPR 2019 · 3D vision › Face and shape · approach: Single-view 3D reconstruction · 351 citations (OpenAlex)

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Measured effects reported in the paper

What was changedWhereMeasuredEffect
Apply instance-specific top-down optimization (ablation)Octopus · LifeScans, 55 test samples, F=8mean vertex error (mm): 4.47 ±4.45 -> 4.00 ±3.94Helped
Apply instance-specific top-down optimization (ablation)Octopus with GT poses · LifeScans, 55 test samples, F=8mean vertex error (mm): 4.47 ±4.41 -> 3.17 ±3.41Helped
Use inferred poses rather than ground-truth poses (ablation)Octopus · LifeScans, 55 test samples, F=8, before optimizationmean vertex error (mm): 4.47 ±4.41 -> 4.47 ±4.45No clear effect
Reduce full supervision from 100% to 50% (ablation)Octopus shape branch · LifeScans, 55 test samples, F=8, before optimizationmean vertex error (mm): 4.47 ±4.41 -> 4.57 ±4.52No clear effect
Reduce full supervision from 100% to 20% (ablation)Octopus shape branch · LifeScans, 55 test samples, F=8, before optimizationmean vertex error (mm): 4.47 ±4.41 -> 4.74 ±4.65No clear effect
Reduce full supervision from 100% to 10% (ablation)Octopus shape branch · LifeScans, 55 test samples, F=8, before optimizationmean vertex error (mm): 4.47 ±4.41 -> 4.73 ±4.56No clear effect
Reduce full supervision from 100% to 50% (ablation)Octopus shape branch · LifeScans, 55 test samples, F=8, after optimizationmean vertex error (mm): 3.17 ±3.41 -> 3.19 ±3.43No clear effect
Reduce full supervision from 100% to 20% (ablation)Octopus shape branch · LifeScans, 55 test samples, F=8, after optimizationmean vertex error (mm): 3.17 ±3.41 -> 3.29 ±3.53No clear effect
Reduce full supervision from 100% to 10% (ablation)Octopus shape branch · LifeScans, 55 test samples, F=8, after optimizationmean vertex error (mm): 3.17 ±3.41 -> 3.46 ±3.62No clear effect

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