A diffusion model creates multi-light images from one photo, and a U-Net uses them to predict object normals and PBR materials, improving single-image inverse rendering on synthetic benchmarks.
Es- timating and exploiting the aleatoric uncertainty in surface normal estimation
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Neural LightRig: Unlocking Accurate Object Normal and Material Estimation with Multi-Light Diffusion
A diffusion model creates multi-light images from one photo, and a U-Net uses them to predict object normals and PBR materials, improving single-image inverse rendering on synthetic benchmarks.