MuNeRF: Robust Makeup Transfer in Neural Radiance Fields

We present MuNeRF, a unified framework for Robust Makeup Transfer in Neural Radiance Fields that is able to transfer makeup styles (left column) to facial images of different poses and expressions while preserving the geometry and appearance consistency.

Robust Makeup Transfer in Neural Radiance Fields
Yujie Yuan*^1,2, Xinyang Han*², Yue He^1,2, Fanglue Zhang³, Lin Gao^1,2†
1Beijing Key Laboratory of Mobile Computing and Pervasive Device, Institute of Computing Technology, Chinese Academy of Sciences,
²University of Chinese Academy of Sciences,
³Victoria University of Wellington, New Zealand
*Authors contributed equally †Corresponding author
TVCG

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@ARTICLE{munerf,
      author={Yuan, Yu-Jie and Han, Xinyang and He, Yue and Zhang, Fang-Lue and Gao, Lin},
      journal={IEEE Transactions on Visualization and Computer Graphics}, 
      title={MuNeRF: Robust Makeup Transfer in Neural Radiance Fields}, 
      year={2024},
      volume={},
      number={},
      pages={1-12},
      keywords={Faces;Geometry;Image color analysis;Three-dimensional displays;Videos;Training;Image reconstruction;Makeup Transfer;Neural Radiance Field;Patch GAN},
      doi={10.1109/TVCG.2024.3368443}}