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Research map / 3D vision / Face and shape

Monocular Reconstruction of Neural Face Reflectance Fields

CVPR 2021 · 3D vision › Face and shape · approach: Face reflectance and relightable rendering · 12 citations (OpenAlex)

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Measured effects reported in the paper

What was changedWhereMeasuredEffect
Use the full neural reflectance-field method instead of Smith et al.Monocular face reconstruction · CelebA-HQ reconstructionSi-MSE: 0.017 -> 0.004Helped
Use the full neural reflectance-field method instead of Smith et al.Monocular face reconstruction · Reflectance transferSi-MSE: 0.018 -> 0.002Helped
Use the full neural reflectance-field method instead of the strongest baselineMonocular face reconstruction · CelebA-HQ reconstructionFace dis: 0.650 -> 0.550Helped
Use the full neural reflectance-field method instead of the strongest baselineMonocular face reconstruction · Reflectance transferFace dis: 0.605 -> 0.482Helped
Add source and target surface normal maps to the reflectance network (ablation)Neural reflectance-field method · Light-stage OLAT reconstruction, same poseSi-MSE: 0.00113 -> 0.00070Helped
Add source and target surface normal maps to the reflectance network (ablation)Neural reflectance-field method · Light-stage OLAT reconstruction, different poseSi-MSE: 0.00126 -> 0.00084Helped
Learn identity and expression geometry instead of using only the mean face mesh (ablation)Neural reflectance-field method · CelebA-HQ reconstructionSi-MSE: 0.011 -> 0.004Helped
Learn identity and expression geometry instead of using only the mean face mesh (ablation)Neural reflectance-field method · CelebA-HQ reconstructionFace dis: 0.550 -> 0.550No clear effect

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