Topic: Face Age Progression using StyleGAN Latent Space Manipulations
by Marcel Grimmer
online Big Blue Button Room: D19/2.03a, April 28, 2022 (Thursday), 12.00 noon
Keywords — Face age progression, Face Recognition, Generative Adversarial Networks
Synthetic face images are essential in overcoming data shortages and privacy issues. This talk analyses the effect of long-term ageing on the face recognition performance simulated with state-of-the-art face age progression techniques. In particular, it is shown how the latent space of pre-trained generative adversarial networks (GANs) can be used to manipulate facial attributes, such as ageing.