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Research map / 3D vision / Depth and stereo

DIB-R++: Learning to Predict Lighting and Material with a Hybrid Differentiable Renderer

NeurIPS 2021 · 3D vision › Depth and stereo · approach: Neural light field and illumination imaging · 9 citations (OpenAlex)

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Measured effects reported in the paper

What was changedWhereMeasuredEffect
Use Monte Carlo shading instead of spherical harmonics lightingDIB-R++ · Metallic-SurfacesLight: 0.220 -> 0.074Helped
Use Monte Carlo shading instead of spherical harmonics lightingDIB-R++ · Metallic-SurfacesTex.: 0.206 -> 0.152Helped
Use spherical Gaussian shading instead of spherical harmonics lightingDIB-R++ · Metallic-SurfacesLight: 0.220 -> 0.095Helped
Use spherical Gaussian shading instead of spherical harmonics lightingDIB-R++ · Metallic-SurfacesTex.: 0.206 -> 0.218No clear effect
Use Monte Carlo shading instead of spherical harmonics lightingDIB-R++ · Glossy-SurfacesLight: 0.131 -> 0.106Helped
Use spherical Gaussian shading instead of spherical harmonics lightingDIB-R++ · Glossy-SurfacesLight: 0.131 -> 0.091Helped
Use spherical Gaussian shading instead of Monte Carlo shadingDIB-R++ · Glossy-SurfacesLight: 0.106 -> 0.091Helped
Use spherical Gaussian shading instead of Monte Carlo shadingDIB-R++ · Glossy-SurfacesTex.: 0.142 -> 0.140Helped
Use Monte Carlo shading instead of spherical Gaussian shadingDIB-R++ · Metallic-SurfacesLight: 0.095 -> 0.074Helped
Use Monte Carlo shading instead of spherical Gaussian shadingDIB-R++ · Metallic-SurfacesTex.: 0.218 -> 0.152Helped
Use Monte Carlo shading instead of spherical Gaussian shadingDIB-R++ · Glossy-SurfacesLight: 0.091 -> 0.106Hurt

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