Multiobjective evolutionary search of the latent space of Generative Adversarial Networks for human face generation
Jairo Correa, Jimena Mignaco, Gonzalo Rey, Benjamín Machín, Sergio Nesmachnow, Jamal Toutouh · 2023
This article presents an explicit multiobjective evolutionary approach for synthetic human face image generation, exploring the latent space of generative adversarial networks. The approach considers the similarity to a target image and the race attribute. The evolutionary search explores the real-coded latent space of Style-GAN3 and applies DeepFace for similarity and race evaluation. Realistic images are generated, properly exploring the search space and the Pareto front of the problem. The generated images pose a challenge to the automatic detection system in DeepFace. Results are applicable to enhance the security of face recognition systems.