VarGFaceNet Pytorch Implementation with AdaFace for LRFR

In this work, we developed a lightweight face recognition model for low-resolution face images with VarGFaceNet architecture and adaptive margin loss AdaFace. This work also use super resolution model such as Real-ESRGAN and GFP-GAN to eliminate degradation in low-resolution images and reconstruct poses and facial expressions. for details please check, Low Resolution Face Recognition Using Lightweight VarGFaceNet Architecture with Adaptive Margin Loss.

Cite This Work

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@article{Ramadani_Adam_Jaman_Rozikin_Garno_2023, 
  title={Low Resolution Face Recognition Using Lightweight VarGFaceNet Architecture with Adaptive Margin Loss}, 
  volume={7}, 
  url={https://jurnal.polibatam.ac.id/index.php/JAIC/article/view/5831}, 
  DOI={10.30871/jaic.v7i1.5831}, 
  number={1}, 
  journal={Journal of Applied Informatics and Computing}, 
  author={Ramadani, Daffa and Adam, Riza and Jaman, Jajam and Rozikin, Chaerur and Garno, G.}, 
  year={2023}, 
  month={Jul.}, 
  pages={104-111}}

Reference

• Original VarGFaceNet: https://github.com/zma-c-137/VarGFaceNet
• VarGFaceNet-Pytorch: https://github.com/enquan/VarGFaceNet_Pytorch
• Base Code: https://github.com/mbfaria/ShuffleFaceNet_Pytorch
• AdaFace: https://github.com/mk-minchul/AdaFace
• Real-ESRGAN: https://github.com/xinntao/Real-ESRGAN
• GFP-GAN: https://github.com/TencentARC/GFPGAN