Identity-aware variational autoencoder for face swapping

• Main Authors: LI, Zonglin, ZHANG, Zhaoxin, HE, Shengfeng, MENG, Quanling, ZHANG, Shengping, ZHONG, Bineng, JI, Rongrong
• Format: text
• Language: English
• Published: Institutional Knowledge at Singapore Management University 2024
• Subjects: Decoding; Face recognition; Face swapping; Faces; Shape; Task analysis; Three-dimensional displays; Training; Variational autoencoder; Weak-supervised training; Graphics and Human Computer Interfaces; Software Engineering
• Online Access: https://ink.library.smu.edu.sg/sis_research/8637
• Institution: Singapore Management University

Face swapping aims to transfer the identity of a source face to a target face image while preserving the target attributes (e.g., facial expression, head pose, illumination, and background). Most existing methods use a face recognition model to extract global features from the source face and direct...