A deep learning model to age faces in the wild, currently runs at 60+ fps on GPUs
PyTorch Lightning implementation of Disney's face re-aging network (FRAN) paper.
Pytorch Implementation of the Explainable Conditional Adversarial Autoencoder using Saliency Maps and SHAP (J. of Imaging - MDPI)
Age Progression/Regression by Conditional Adversarial Autoencoder
A TensorFlow GAN model to transform input images based on target age
Pytorch Implementation of the Interpretable Conditional Adversarial Autoencoder using LIME (ICASSP 2024)
Face Aging Webapp, using Flask and Only a Matter of Style
Face re-aging with a pretrained U-Net model. Transform face images to appear older or younger using a simple Python CLI.
PyTorch implementation of Progressive Growing of GANs for Improved Quality, Stability, and Variation.
This project introduces a method to mitigate demographic bias in generative face aging models. We adapt the StyleGAN-based SAM model by adding a race-consistency loss, enforced by the DeepFace classifier, to promote more equitable and identity-preserving age transformations across different racial groups.
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