During latent vector optimization, we optimize the encoder network and the generator network simultaneously. The equation we use for latent vector optimization is as follows: 

FR is the face recognition network. This equation indicates that the Euclidean distance between the real image and the reconstructed images should be minimal. In this stage, we try to minimize the distance to maximize identity preservation.