Face Privacy Protection and Anonymization Model Integrating Multi-Condition Collaborative Control GANs
A reversible face anonymization framework based on multi-conditional collaborative control (RFAMCC), integrating multi-level feature-driven anonymization, identity-space deflection, context fusion, and a steganography–recovery mechanism is proposed, providing a practical solution for privacy-preserving and legally comp...