Yingyan Xu, K. Gadola, P. Chandran, S. Weiss, M. Gross, G. Zoss, D. Bradley
Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV) (Honolulu, US, Oct 19-23, 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.
