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Research map / 3D vision / Depth and stereo

Practical Wide-Angle Portraits Correction With Deep Structured Models

CVPR 2021 · 3D vision › Depth and stereo · approach: Dense feature matching for correspondence · 24 citations (OpenAlex)

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Measured effects reported in the paper

What was changedWhereMeasuredEffect
Use basic LineNet to predict the perspective projection flow (ablation)wide-angle portrait correction · wide-angle portrait test setProj LineAcc: 66.064 -> 66.745Helped
Add LAM to basic LineNet (ablation)LineNet · wide-angle portrait test setProj LineAcc: 66.745 -> 66.856Helped
Add ShapeNet to LineNet (ablation)LineNet · wide-angle portrait test setShapeAcc: 97.380 -> 97.458Helped
Add LAM to LineNet + ShapeNet (ablation)LineNet + ShapeNet · wide-angle portrait test setCorr LineAcc: 66.439 -> 66.472Helped
Add FAM to LineNet + LAM + ShapeNet (ablation)LineNet + LAM + ShapeNet · wide-angle portrait test setShapeAcc: 97.472 -> 97.479Helped
Add TM to the configuration with LAM, ShapeNet, and FAM (ablation)portrait correction network · wide-angle portrait test setCorr LineAcc: 66.484 -> 66.575Helped
Add TM to the configuration with LAM, ShapeNet, and FAM (ablation)portrait correction network · wide-angle portrait test setShapeAcc: 97.479 -> 97.485Helped
Add landmark loss to the model with LAM and ShapeNet (ablation)portrait correction network · wide-angle portrait test setShapeAcc: 97.472 -> 97.473No clear effect
Add landmark loss to the model with LAM and ShapeNet (ablation)portrait correction network · wide-angle portrait test setCorr LineAcc: 66.472 -> 66.541Helped
Include data from multiple camera modules in training (ablation)full model · wide-angle portrait test setLineAcc: 66.324 -> 66.784Helped
Include data from multiple camera modules in training (ablation)full model · wide-angle portrait test setShapeAcc: 97.464 -> 97.490Helped
Use the full training set instead of training without Note data (ablation)full model · Note testsetShapeAcc: 97.061 -> 97.115No clear effect

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