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COAP: Compositional Articulated Occupancy of People

CVPR 2022 · 3D vision › Face and shape · approach: Full-body avatar reconstruction · 48 citations (OpenAlex)

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Measured effects reported in the paper

What was changedWhereMeasuredEffect
use compositional part-aware occupancy instead of a holistic implicit fieldCOAP · PosePriorIoU Surf.: LEAP 73.33; COAP 89.92Helped
use compositional part-aware occupancy instead of a holistic implicit fieldCOAP · DFaustIoU Surf.: LEAP 66.35; COAP 84.44Helped
add a geometric prior for local body shape (ablation)COAP · PosePrior sequencesIoU Surface: 82.81 -> 84.46Helped
add one-hot encoding for local features (ablation)COAP · PosePrior sequencesIoU Surface: 82.81 -> 85.44Helped
add both geometric prior and one-hot encoding (ablation)COAP · PosePrior sequencesIoU Surface: 82.81 -> 86.86Helped
add COAP collision termPROX reconstruction · PROX quantitative datasetPenetration: 143.52 -> 100.17Helped
add COAP collision termPROX reconstruction · PROX quantitative datasetV2V [mm]: 154.26 -> 154.15Helped
add COAP collision termPROX reconstruction · PROX quantitative datasetPJE [mm]: 154.39 -> 154.34Helped
use ground-truth scene SDF instead of COAP-based collision detectionPROX reconstruction · PROX quantitative datasetPenetration: 100.17 -> 46.84Helped
use ground-truth scene SDF instead of COAP-based collision detectionPROX reconstruction · PROX quantitative datasetV2V [mm]: 154.15 -> 154.01Helped
use ground-truth scene SDF instead of COAP-based collision detectionPROX reconstruction · PROX quantitative datasetPJE [mm]: 154.34 -> 154.13Helped

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