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We propose a novel method for high-quality facial texture reconstruction fromRGB images using a novel capturing routine based on a single smartphone whichwe equip with an inexpensive polarization foil. Specifically, we turn theflashlight into a polarized light source and add a polarization filter on topof the camera. Leveraging this setup, we capture the face of a subject withcross-polarized and parallel-polarized light. For each subject, we record twoshort sequences in a dark environment under flash illumination with differentlight polarization using the modified smartphone. Based on these observations,we reconstruct an explicit surface mesh of the face using structure frommotion. We then exploit the camera and light co-location within adifferentiable renderer to optimize the facial textures using ananalysis-by-synthesis approach. Our method optimizes for high-resolution normaltextures, diffuse albedo, and specular albedo using a coarse-to-fineoptimization scheme. We show that the optimized textures can be used in astandard rendering pipeline to synthesize high-quality photo-realistic 3Ddigital humans in novel environments.

High-Res Facial Appearance Capture from Polarized Smartphone Images