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Research map / 3D vision / Depth and stereo

Deep Reflectance Maps

CVPR 2016 · 3D vision › Depth and stereo · approach: Neural light field and illumination imaging · 96 citations (OpenAlex)

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Measured effects reported in the paper

What was changedWhereMeasuredEffect
Use the indirect normal-supervised approach instead of direct image-to-map predictionReflectance-map estimation · SMASHINg syntheticMSE: .0019 -> .0018Helped
Use the indirect normal-supervised approach instead of direct image-to-map predictionReflectance-map estimation · SMASHINg syntheticDSSIM: .0209 -> .0180Helped
Use the indirect normal-supervised approach instead of direct image-to-map predictionReflectance-map estimation · SMASHINg realMSE: .0120 -> .0143Hurt
Use the indirect normal-supervised approach instead of direct image-to-map predictionReflectance-map estimation · SMASHINg realDSSIM: .0976 -> .0991Hurt
Replace SparseNet with RBF interpolation (ablation)Indirect reflectance-map estimation · SMASHINg syntheticMSE: .0018 -> .0038Hurt
Replace SparseNet with RBF interpolation (ablation)Indirect reflectance-map estimation · SMASHINg realMSE: .0143 -> .0116Helped
Use ground-truth normals instead of estimated normals (ablation)Indirect reflectance-map estimation · SMASHINg syntheticMSE: .0018 -> .0008Helped
Use ground-truth normals instead of estimated normals (ablation)Indirect reflectance-map estimation · SMASHINg syntheticDSSIM: .0180 -> .0111Helped
Add a second normal loss on x,y coordinates (ablation)Indirect normal-estimation network · SMASHINg synthetic normalsMean: 14.3 -> 13.4Helped
Add a second normal loss on x,y coordinates (ablation)Indirect normal-estimation network · SMASHINg synthetic normalsMedian: 9.1 -> 8.2Helped
Add a second normal loss on x,y coordinates (ablation)Indirect normal-estimation network · SMASHINg synthetic normalsRMSE: 20.6 -> 19.8Helped
Train the dual-loss network on upsampled normals (ablation)Indirect normal-estimation network · SMASHINg synthetic normalsMean: 13.4 -> 13.3Helped

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