Face Generator

Face generators are artificial intelligence systems designed to create realistic synthetic images of human faces, primarily using deep learning techniques like Generative Adversarial Networks (GANs) and diffusion models. Current research focuses on improving the realism and diversity of generated faces, addressing issues like generalization to unseen individuals and expressions, and mitigating biases present in training data. These advancements have significant implications for various fields, including face recognition technology, animation, and the creation of synthetic datasets for training other AI models, while also raising ethical concerns regarding the potential misuse of realistic fake faces.