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Research map / 3D vision / Face and shape

Generating Diverse 3D Reconstructions From a Single Occluded Face Image

CVPR 2022 · 3D vision › Face and shape · approach: Face reflectance and relightable rendering · 6 citations (OpenAlex)

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Measured effects reported in the paper

What was changedWhereMeasuredEffect
Use Global+Local fitting instead of FLAME fitting3D face fitting on occluded CoMA images · CoMA test, overallMSE × 10^-3: 41.24 -> 35.85Helped
Add DPP diversification to Global+Local+VAE (ablation)Diverse3DFace · CoMA test, overallASD-O × 10^-3: 1.59 -> 6.05Helped
Add DPP diversification to Global+Local+VAE (ablation)Diverse3DFace · CoMA test, overallASD-V × 10^-3: 0.95 -> 0.73Helped
Replace Global+Local fitting with FLAME fitting (ablation)VAE and DPP shape completion · CoMA test, overallCSE × 10^-3: 33.71 -> 37.45Hurt
Replace Global+Local fitting with FLAME fitting (ablation)VAE and DPP shape completion · CoMA test, overallASD-O × 10^-3: 6.05 -> 5.92Hurt
Remove Mesh-VAE completion and use DPP fitting directly (ablation)Global+Local shape fitting · CoMA test, overallCSE × 10^-3: 33.71 -> 34.55Hurt
Remove Mesh-VAE completion and use DPP fitting directly (ablation)Global+Local shape fitting · CoMA test, overallASD-O × 10^-3: 6.05 -> 3.39Hurt
Use one-pass VAE samples without DPP optimization (ablation)Global+Local+VAE · CoMA test, overallCSE × 10^-3: 33.71 -> 31.18Helped
Use one-pass VAE samples without DPP optimization (ablation)Global+Local+VAE · CoMA test, overallASD-O × 10^-3: 6.05 -> 1.59Hurt
Increase the DPP prior-quality parameter n_sigma (ablation)Diverse3DFace · CoMA testASD-O: 3.63 -> 8.64Helped

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