Towards Large-Pose Face Frontalization in the Wild

@article{Yin2017TowardsLF,
  title={Towards Large-Pose Face Frontalization in the Wild},
  author={Xi Yin and Xiang Yu and Kihyuk Sohn and Xiaoming Liu and Manmohan Krishna Chandraker},
  journal={2017 IEEE International Conference on Computer Vision (ICCV)},
  year={2017},
  pages={4010-4019}
}
Despite recent advances in face recognition using deep learning, severe accuracy drops are observed for large pose variations in unconstrained environments. Learning pose-invariant features is one solution, but needs expensively labeled large-scale data and carefully designed feature learning algorithms. In this work, we focus on frontalizing faces in the wild under various head poses, including extreme profile view's. We propose a novel deep 3D Morphable Model (3DMM) conditioned Face… CONTINUE READING
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