Advantages and disadvantages of face swap ai model

The core advantages and disadvantages of face swap ai model (such as Faceswap technology) are as follows:
advantage
Efficient generation: Based on deep learning models such as generative adversarial networks, replacement images that highly match the target face can be quickly generated, saving 90% of time compared to traditional shooting.  ‌
Cost savings: No need to hire professional models, suitable for e-commerce, film and television fields, can reduce shooting and photo editing costs.  ‌
Diversified applications: Supports multi regional face replacement (such as Europe, America, Asia, etc.), suitable for cross-border merchants and global marketing needs.  ‌
Technical features: Accurate facial feature extraction is achieved through convolutional neural networks, generating images with clear details and natural light and shadow transitions.  ‌
disadvantage
Technical limitations: The generated images may have a "plastic feel", especially in complex facial expressions or light and shadow changing scenes where realism decreases.  ‌
Compliance risk: The use of facial features of others may involve disputes over portrait rights, and strict compliance with privacy agreements is required.  ‌
Ethical controversy: Improper use may be used to fabricate false information, mislead public opinion, or challenge social ethical bottom lines.  ‌
Security risk: Technology is used for criminal activities such as identity forgery and fund theft, posing information security risks.