Yifan Yuan

2 accepted papers

2023

DO-FAM: Disentangled Non-Linear Latent Navigation For Facial Attribute Manipulation

Yifan Yuan, Siteng Ma, Hongming Shan, Junping Zhang

ICASSP 2023accepted

Facial attribute manipulation (FAM) aims to edit the semantic attributes of facial images according to the user’s requirements. Unfortunately, the majority of existing FAM methods struggle in meeting at least one of the two requirements: high reconstruction quality and high irrelevance preservation.…

Cited by 0 Source ↗Scholar ↗

2022

VR-FAM: Variance-Reduced Encoder with Nonlinear Transformation for Facial Attribute Manipulation

Yifan Yuan, Siteng Ma, Junping Zhang

ICASSP 2022accepted

Facial attribute manipulation (FAM) aims to infer desired facial images by modifying specific attributes while keeping others unchanged. Existing works suffer from the entanglement of facial attributes, leading to unexpected artifacts and the loss of facial identity information after editing. To all…

Cited by 0 Source ↗Scholar ↗