One Shot, One Talk is a deep learning-based image generation technology capable of reconstructing full-body dynamic speaking avatars with personalized details from a single image, supporting realistic animation effects, including vivid body movements and natural expression changes. The significance of this technology lies in its ability to greatly lower the barrier for creating realistic, animated virtual images, enabling users to generate highly personalized and expressive virtual avatars with just one image. Background information indicates that this technology was developed by research teams from the University of Science and Technology of China and Hong Kong Polytechnic University, integrating the latest image-to-video diffusion models and 3DGS-mesh hybrid avatar representations, while employing key regularization techniques to reduce inconsistencies caused by imperfect labels.