Head Video

Head video generation focuses on creating realistic and controllable talking head videos from various inputs like audio, images, or existing videos. Current research emphasizes improving video quality, particularly high-frequency details and temporal consistency, using techniques like diffusion models, vector quantized autoencoders, and 3D morphable models. This field is significant for applications in film, virtual reality, and video compression, driving advancements in both AI-generated content and efficient video communication.