Expression Transfer

Expression transfer research focuses on computationally transferring facial expressions between images or videos, aiming to realistically and accurately render a target face with a source face's expression. Current approaches heavily utilize Generative Adversarial Networks (GANs), often incorporating landmark information or 3D face models to improve accuracy and realism, sometimes leveraging intermediate representations like Facial Action Coding System (FACS) units. This field is significant for its applications in computer graphics, animation, and potentially even clinical settings for analyzing and synthesizing facial expressions, improving the quality and efficiency of expression manipulation in various applications.