Speech Driven 3D Facial Animation

Speech-driven 3D facial animation aims to realistically animate a 3D face model based solely on audio input, focusing on accurate lip synchronization and natural facial expressions. Current research heavily utilizes transformer and diffusion models, often incorporating techniques like low-rank adaptation for personalization and key motion embeddings to improve realism and efficiency. This field is significant for its applications in diverse areas such as virtual reality, film production, and video conferencing, driving advancements in both deep learning architectures and the creation of more realistic and expressive digital avatars. The ongoing focus is on improving the naturalness and diversity of generated animations, particularly addressing the challenges of limited training data and the complex interplay between audio and facial movements.