Face Hallucination Using Cascaded Super-Resolution and Identity Priors

@article{Grm2020FaceHU,
  title={Face Hallucination Using Cascaded Super-Resolution and Identity Priors},
  author={Klemen Grm and W. Scheirer and V. {\vS}truc},
  journal={IEEE Transactions on Image Processing},
  year={2020},
  volume={29},
  pages={2150-2165}
}
  • Klemen Grm, W. Scheirer, V. Štruc
  • Published 2020
  • Computer Science, Medicine
  • IEEE Transactions on Image Processing
  • In this paper we address the problem of hallucinating high-resolution facial images from low-resolution inputs at high magnification factors. We approach this task with convolutional neural networks (CNNs) and propose a novel (deep) face hallucination model that incorporates identity priors into the learning procedure. The model consists of two main parts: i) a cascaded super-resolution network that upscales the low-resolution facial images, and ii) an ensemble of face recognition models that… CONTINUE READING
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