Portrait Video

Portrait video research focuses on generating and manipulating high-quality videos featuring human faces, aiming for realistic animation and expressive editing capabilities. Current efforts leverage advanced techniques like diffusion models, neural radiance fields (NeRFs), and generative adversarial networks (GANs), often incorporating multimodal inputs (text, audio, images) to control the generation and editing processes. This field is significant for its applications in virtual and augmented reality, social media, and film production, driving improvements in video editing software and creative content generation. The development of large, high-quality datasets specifically for portrait video analysis is also a key area of ongoing research.