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)

Model for aging face photos up or down.

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.

Open-source AI age progression & kid-to-adult prediction tool — production-ready Next.js SaaS that simulates photorealistic growth aging from child to adult. Free FaceApp & AgePro alternative with Stripe billing, credits, NextAuth, and Prisma.