Driven 3D

Driven 3D, specifically audio-driven 3D talking head generation, aims to create realistic and expressive virtual humans animated by speech input. Current research focuses on improving lip synchronization, emotional expressiveness, and rendering quality, employing various model architectures including Transformers, neural radiance fields (NeRFs), and structured state space models (SSMs), often incorporating techniques like meta-learning and disentanglement of emotional and content features. This field is significant for applications in virtual reality, augmented reality, and animation, with ongoing efforts to enhance realism, efficiency (e.g., real-time rendering), and generalization across languages and speaking styles.