3D Facial Animation

3D facial animation aims to realistically recreate human facial expressions and movements in a three-dimensional digital space, primarily driven by audio or video input. Current research heavily utilizes deep learning models, including Generative Adversarial Networks (GANs), diffusion models, and Transformers, often incorporating techniques like meta-learning and contrastive learning to improve personalization and realism. This field is crucial for advancements in virtual reality, augmented reality, video game development, and animation, offering increasingly lifelike and expressive digital characters and avatars.