Muhammad Farooq

FaceAge+: training-free synthetic augmentation for deep learning-based biological age estimation from facial images

The proposed approach uses a novel training-free, age-conditioned face synthesis technique based on geometrically guided W-space traversal of StyleGAN2, enabling the disentangled generation of synthetic faces across target age groups, and consistently improves predictions for underrepresented age groups.