总结了人脸跨域合成技术的起源、任务类型与难点、技术发展与挑战、潜在应用与问题等，从自监督与弱监督跨域合成、基于预训练大模型跨域合成、基于跨域合成隐私保护3个方面探讨了人脸跨域合成技术未来发展趋势与挑战。
Advances in deep learning technology and the development of the digital economy have promoted the development of artificial intelligence-generated content (AIGC) technologies such as virtual humans. Cross-domain face synthesis is one of the key technologies in virtual human production, and it has a wide range of applications in social media, film and television production and other fields. This paper summarizes the origin of cross-domain face synthesis technology, and its typical task types and difficulties, technological development and challenges, potential applications, and issues, and discusses its future development trend and challenges from the aspects of self-supervised and weakly supervised cross-domain synthesis, utilization of pre-trained large models, and privacy protection.
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