Human Face Synthesis
Jun Yu, Fengxin Chen · 2025
This chapter explores human face synthesis, a transformative field leveraging computational models and advanced techniques like generative adversarial networks, variational autoencoders, and diffusion models to generate realistic or stylized facial images. Applications span entertainment, healthcare, security, and data augmentation, driving innovation across diverse domains. Key challenges include achieving realism, diversity, and adaptability while addressing ethical concerns like misuse and privacy. By tackling computational complexity and enhancing model generalization, researchers continue to refine face synthesis technology, ensuring its robustness, inclusivity, and ethical integration into real-world applications, thereby reshaping interactions and experiences in the digital era.