filename     : Xu25a.pdf
entry        : inproceedings
conference   : ICCV 2025, Honolulu, US, 19-23 Oct, 2025
pages        : 12078-12088
year         : 2025
month        : October
title        : Monocular Facial Appearance Capture in the Wild
subtitle     :
author       : Yingyan Xu, Kate Gadola, Prashanth Chandran, Sebastian Weiss, Markus Gross, Gaspard Zoss, Derek Bradley
booktitle    : Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)
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editor       :
publisher    : IEEE
publ.place   :
volume       :
issue        :
language     : English
keywords     : neural avatars, relighting, 
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.