Talking head synthesis, an advanced method for generating portrait videos
from a still image driven by specific content, has garnered widespread
attention in virtual reality, augmented reality and game production. Recently,
significant breakthroughs have been made with the introduction of novel models
such as the transformer and the diffusion model. Current methods can not only
generate new content but also edit the generated material. This survey
systematically reviews the technology, categorizing it into three pivotal
domains: portrait generation, driven mechanisms, and editing techniques. We
summarize milestone studies and critically analyze their innovations and
shortcomings within each domain. Additionally, we organize an extensive
collection of datasets and provide a thorough performance analysis of current
methodologies based on various evaluation metrics, aiming to furnish a clear
framework and robust data support for future research. Finally, we explore
application scenarios of talking head synthesis, illustrate them with specific
cases, and examine potential future directions.

头像合成的技术和应用进行了全面的调查和总结，涵盖了头像生成、驱动机制、编辑技术等方面，同时还提供了大量的数据集和绩效分析，以支持未来的研究和应用。