- InterFaceGAN (https://github.com/genforce/interfacegan )allows to interpret the semantics encoded in latent space of GANs in order to control facial attributes such as age
- StyleGAN (https://github.com/NVlabs/stylegan) is able to generate faces of humans at high resolution (1024x1024) however the purpose of the notebook* is to change the facial attributes of a real person, to do this an encoder is used to get the encoding that will be the input of InterFaceGAN
As you can see the more we push the age attribute the more the subject loses the identity