StyleDNA: A High-Fidelity Age and Gender Aware Kinship Face Synthesizer

Description

This is the official repository of StyleDNA: A High-Fidelity Age and Gender Aware Kinship Face Synthesizer paper. (FG 2021) [colab demo]

Get Started

Prerequisites

• Linux or macOS
• Python3
• PyTorch == 1.9.0+cu111
• dlib == 19.22.1

Pretrained Model Weights

• Face Predictor

  Shape predictor from dlib.

• StyleGAN2

  StyleGAN2 model pretrained on FFHQ taken from rosinality with 1024x1024 output resolution.

• Other pretrained model weights

Inference Notebook

We provide a Jupyter notebook version running on Google Colab for fast inferecing.

Inferencing

Pretrained Weights

Download all the pretrained model weights and put them in ./pretrained_model/

Inferencing

Having your trained model weight, you can use ./inference.py to test the model on a set of images. For example,

python3 inference.py --mom_path ./test/mom.png --dad_path ./test/dad.png

Credits

We sincerely thanks for great development from other related projects, and we borrow code from

• stylegan2: https://github.com/rosinality/stylegan2-pytorch
  Copyright (c) 2019 Kim Seonghyeon
  License (MIT) https://github.com/rosinality/stylegan2-pytorch/blob/master/LICENSE

• pSp: https://github.com/eladrich/pixel2style2pixel
  Copyright (c) 2020 Elad Richardson, Yuval Alaluf
  License (MIT) https://github.com/eladrich/pixel2style2pixel/blob/master/LICENSE

• InsightFace_Pytorch: https://github.com/TreB1eN/InsightFace_Pytorch
  Copyright (c) 2018 TreB1eN
  License (MIT) https://github.com/TreB1eN/InsightFace_Pytorch/blob/master/LICENSE

• dlib: http://dlib.net/face_landmark_detection.py.html
  License (BSL-1.0) https://github.com/davisking/dlib/blob/master/LICENSE.txt

• Face alignment: https://gist.github.com/lzhbrian/bde87ab23b499dd02ba4f588258f57d5

Citation

If you find this code useful for your research, please cite our paper, StyleDNA: A High-Fidelity Age and Gender Aware Kinship Face Synthesizer.

@inproceedings{lin2021styledna,
  title={StyleDNA: A High-Fidelity Age and Gender Aware Kinship Face Synthesizer},
  author={Lin, Che-Hsien and Chen, Hung-Chun and Cheng, Li-Chen and Hsu, Shu-Chuan and Chen, Jun-Cheng and Wang, Chih-Yu},
  booktitle={Proceedings of the IEEE International Conference on Automatic Face and Gesture Recognition (FG)},
  year={2021}
}