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Multi-View Azimuth Stereo via Tangent Space Consistency

CVPR 2023 · 3D vision › Depth and stereo · approach: Photometric stereo · 12 citations (OpenAlex)

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Measured effects reported in the paper

What was changedWhereMeasuredEffect
Use multi-view tangent consistency rather than a single-view tangent loss (ablation)MVAS · 3D shape reconstructionshape ambiguityHelped
Handle the polarization azimuth half-pi ambiguity by allowing both candidate tangent vectors (ablation)MVAS with polarization imaging · Polarization imaging reconstructionreconstruction qualityHelped
Reduce input viewpoints from 15 to 10 (ablation)MVAS · DiLiGenT-MV, BuddhaChamfer distance: 0.357 -> 0.372Hurt
Reduce input viewpoints from 15 to 8 (ablation)MVAS · DiLiGenT-MV, BuddhaChamfer distance: 0.357 -> 0.449Hurt
Reduce input viewpoints from 15 to 6 (ablation)MVAS · DiLiGenT-MV, BuddhaChamfer distance: 0.357 -> 0.424Hurt
Reduce input viewpoints from 15 to 5 (ablation)MVAS · DiLiGenT-MV, BuddhaChamfer distance: 0.357 -> 0.422Hurt
Use MVAS instead of PS-NeRFDiLiGenT-MV normal reconstruction · CowMAE: 4.35 -> 3.72Helped
Use MVAS instead of PS-NeRFDiLiGenT-MV normal reconstruction · ReadingMAE: 9.36 -> 10.02Hurt
Use MVAS instead of PS-NeRFDiLiGenT-MV geometry reconstruction · CowChamfer distance: 0.287 -> 0.216Helped
Use MVAS instead of PS-NeRFDiLiGenT-MV geometry reconstruction · ReadingChamfer distance: 0.352 -> 0.522Hurt

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