Facial Avatar

Facial avatar research focuses on creating realistic and expressive 3D representations of human faces from various input modalities, aiming for high fidelity and controllability. Current efforts leverage deep learning models, including diffusion models and GANs, often incorporating techniques like multi-view consistency, neural radiance fields (NeRFs), and 3D Morphable Models (3DMMs) to achieve photorealism and accurate expression capture. This field is significant for applications ranging from virtual and augmented reality to behavioral studies and animation, offering advancements in both computer graphics and human-computer interaction.