Monocular Facial Appearance Capture in the Wild
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.
Cite
Text
Xu et al. "Monocular Facial Appearance Capture in the Wild." International Conference on Computer Vision, 2025.Markdown
[Xu et al. "Monocular Facial Appearance Capture in the Wild." International Conference on Computer Vision, 2025.](https://mlanthology.org/iccv/2025/xu2025iccv-monocular/)BibTeX
@inproceedings{xu2025iccv-monocular,
title = {{Monocular Facial Appearance Capture in the Wild}},
author = {Xu, Yingyan and Gadola, Kate and Chandran, Prashanth and Weiss, Sebastian and Gross, Markus and Zoss, Gaspard and Bradley, Derek},
booktitle = {International Conference on Computer Vision},
year = {2025},
pages = {12078-12088},
url = {https://mlanthology.org/iccv/2025/xu2025iccv-monocular/}
}