G2Face: High-Fidelity Reversible Face Anonymization via generative and geometric priors

• Main Authors: YANG, Haoxin, XU, Xuemiao, XU, Cheng, ZHANG, Huaidong, QIN, Jing, WANG, Yi, HENG, Pheng-Ann, Shengfeng HE
• Format: text
• Language: English
• Published: Institutional Knowledge at Singapore Management University 2024
• Subjects: Data privacy; Face recognition; Faces; Feature extraction; Generative adversarial networks; generative prior; geometric prior; identity-aware feature fusion; Information filtering; Information integrity; Reversible face anonymization; Graphics and Human Computer Interfaces; Information Security
• Online Access: https://ink.library.smu.edu.sg/sis_research/9273; https://ink.library.smu.edu.sg/context/sis_research/article/10273/viewcontent/G2Face_av.pdf
• Institution: Singapore Management University

Reversible face anonymization, unlike traditional face pixelization, seeks to replace sensitive identity information in facial images with synthesized alternatives, preserving privacy without sacrificing image clarity. Traditional methods, such as encoder-decoder networks, often result in significan...