Monocular Facial Appearance Capture in the Wild

Yingyan Xu, Kate Gadola, Prashanth Chandran, Sebastian Weiss, Markus Gross, Gaspard Zoss, Derek Bradley; Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV), 2025, pp. 12078-12088

Abstract

We present a new method for reconstructing the appearance properties of human faces from a lightweight capture procedure in an unconstrained environment. Our method recovers the surface geometry, diffuse albedo, specular intensity and specular roughness from a monocular video containing a simple head rotation in-the-wild. Notably, we make no simplifying assumptions on the environment lighting, and we explicitly take visibility and occlusions into account. As a result, our method can produce facial appearance maps that approach the fidelity of studio-based multi-view captures, but with a far easier and cheaper procedure.

Related Material

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[bibtex]
@InProceedings{Xu_2025_ICCV, author = {Xu, Yingyan and Gadola, Kate and Chandran, Prashanth and Weiss, Sebastian and Gross, Markus and Zoss, Gaspard and Bradley, Derek}, title = {Monocular Facial Appearance Capture in the Wild}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2025}, pages = {12078-12088} }