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Populating 3D Scenes by Learning Human-Scene Interaction

CVPR 2021 · 3D vision › Human pose estimation · approach: Physics and sensor-based motion capture · 140 citations (OpenAlex)

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Measured effects reported in the paper

What was changedWhereMeasuredEffect
Add scene semantic features to contact features (ablation)POSA scene population · PROX test set vs. PROX GTGeneration preference (%): 46.9% -> 49.1%Helped
Add scene semantic features to contact features (ablation)POSA scene population · Human-scene generation vs. PLACEPreference for POSA variant (%): 60.7% -> 61.0%Helped
Use clothed meshes with semantic features instead of contact-only features (ablation)POSA-clothing · PROX test set vs. PROX GTGeneration preference (%): 55.0% -> 60.6%Helped
Replace hand-selected PROX contact points with learned POSA interaction featuresMonocular pose estimation · PROXPJE (mm): 167.08 -> 154.33Helped
Replace hand-selected PROX contact points with learned POSA interaction featuresMonocular pose estimation · PROXV2V (mm): 166.51 -> 154.84Helped
Replace hand-selected PROX contact points with learned POSA interaction featuresMonocular pose estimation · PROXp.PJE (mm): 71.97 -> 73.17Hurt
Replace hand-selected PROX contact points with learned POSA interaction featuresMonocular pose estimation · PROXp.V2V (mm): 61.14 -> 63.23Hurt
Add scene semantics to contact-only features (ablation)POSA scene population · PROX test scenesNon-collision score: 0.97 -> 0.97No clear effect
Add scene semantics to contact-only features (ablation)POSA scene population · PROX test scenesContact score: 1.0 -> 0.99Hurt
Add scene semantics to contact-only features (ablation)POSA scene population · PROX test scenesEntropy: 2.94 -> 2.92Hurt
Add scene semantics to contact-only features (ablation)POSA scene population · PROX test scenesCluster size: 2.28 -> 2.27Hurt

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