Pytorch Face Super-Resolution Algorithms

This repository contains the results of some standard and proposed super-resolution algorithms for improving performance in two low-resolution face recognition tasks. The full discussion of the results was presented in my master thesis "Analysis and evaluation of Deep Learning based Super-Resolution algorithms to improve performance in Low-Resolution Face Recognition" in 2019 (published on arXiv in 2021).

Citation

@misc{menezes2021analysis,
      title={Analysis and evaluation of Deep Learning based Super-Resolution algorithms to improve performance in Low-Resolution Face Recognition}, 
      author={Angelo G. Menezes},
      year={2021},
      eprint={2101.10845},
      archivePrefix={arXiv},
      primaryClass={cs.CV}
}

Acknowledgements

Besides other main influences and background work described on the thesis, this repository was highly guided by the code, ideas and implementations presented in the Tim Esler, VGG@Oxford, Yiang Li, Chao Wen, Hao Ren, and Zijin Luo repositories.