SynthPar is a conditional StyleGAN2 model capable of creating synthetic face images with specified attributes like skin color and sex.
It is built upon the StyleGAN2 architecture and trained on the VGGFace2 dataset.
The primary intended use of this model is to generate synthetic face images with a good representation across various skin colors.
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Developing and evaluating face recognition models with the goal of reducing performance disparities across different demographic groups.
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Augmenting existing face datasets to improve their representation of diverse skin colors.
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Conducting research on fairness and bias in facial recognition systems.
Please refer to the github
repo for further guidance.
The SynthPar model is released under the MIT license.
