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Pix3D: Dataset and Methods for Single-Image 3D Shape Modeling

CVPR 2018 · 3D vision › Face and shape · approach: Single-view 3D reconstruction · 479 citations (OpenAlex)

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Measured effects reported in the paper

What was changedWhereMeasuredEffect
add joint pose estimation with the view estimator (ablation)Ours on Pix3D chairs · Pix3D chairsIoU: 0.267 -> 0.282Helped
add joint pose estimation with the view estimator (ablation)Ours on Pix3D chairs · Pix3D chairsEMD: 0.124 -> 0.118Helped
add joint pose estimation with the view estimator (ablation)Ours on Pix3D chairs · Pix3D chairsCD: 0.124 -> 0.119Helped
remove the pose estimation module (ablation)Ours image-based retrieval · Pix3D image-based retrievalR@1: 0.42 -> 0.53Helped
add joint pose estimation (ablation)Ours image-based retrieval · Pix3D image-based retrievalR@1: 0.53 -> 0.42Hurt
use the proposed joint shape and pose model instead of Render for CNNPix3D pose estimation · Pix3D pose estimation, 4 viewsAzimuth accuracy: 0.71 -> 0.76Helped
use the proposed joint shape and pose model instead of Render for CNNPix3D pose estimation · Pix3D pose estimation, 4 viewsElevation accuracy: 0.57 -> 0.87Helped
evaluate reconstruction with Chamfer distance or Earth Mover's distance rather than IoU3D shape reconstruction metric evaluation · Human ratings of reconstructed shapesPearson correlation: 0.371, 0.544, and 0.518Helped

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