WildCap: Facial Appearance Capture in the Wild
via Hybrid Inverse Rendering
arxiv




Overview


overview

We propose a novel method for low-cost high-quality facial appearance capture. Given a single smartphone video captured in the wild (a big improvement of our previous work CoRA and DoRA), our method can reconstruct high-quality facial assets, which can be exported to common graphics engines like Blender for photo-realistic rendering. As shown in the figure above, our method can faithfully reconstruct detail patterns on different facial regions. See our video for more illustrations and results!

Citation


AخA
 
@inproceedings{han2025wildcap,
    author = {Han, Yuxuan and Ming, Xin and Li, Tianxiao and Shen, Zhuofan and Zhang, Qixuan and Xu, Lan and Xu, Feng},
    title = {WildCap: Facial Appearance Capture in the Wild via Hybrid Inverse Rendering},
    booktitle = {arxiv},
    year={2025}
}


Acknowledgements


The website template was adapted from AdaMPI.