Monocular Facial Appearance Capture in the Wild

Yingyan Xu, Kate Gadola, Prashanth Chandran, Sebastian Weiss, Markus Gross +2 more
12/17/2024
cs.CVcs.GR

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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.

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Cite this paper

@article{xu2024monocular,
  title  = {Monocular Facial Appearance Capture in the Wild},
  author = {Yingyan Xu and Kate Gadola and Prashanth Chandran and Sebastian Weiss and Markus Gross and Gaspard Zoss and Derek Bradley},
  year   = {2024},
  eprint = {2412.12765},
  archivePrefix = {arXiv},
  url    = {http://arxiv.org/abs/2412.12765v2}
}

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