The Technology of Face Synthesis and Editing Based on Generative Models

This paper reviews the current state of research on generative AI both domestically and internationally, exploring its potential applications and challenges across various fields. In education, generative AI enhances students' academic writing skills and learning outcomes by providing personalized learning support. In design, it facilitates personalized and innovative creations, enabling designers to generate novel ideas through algorithms. Additionally, the application of generative AI in psychology reveals the complex relationship between emotion analysis and social behavior, while in computer vision, it advances facial recognition technology. However, with the widespread use of generative AI, ethical and social responsibility issues are increasingly prominent. This paper emphasizes the importance of establishing appropriate regulations and legal frameworks to ensure the authenticity and morality of generated content, making this a key focus for future research. Overall, generative AI is profoundly transforming research and practice in various fields, and future studies must pay greater attention to its social impact and technological responsibilities.