LADN: Local Adversarial Disentangling Network for Facial Makeup and De-Makeup

We propose a local adversarial disentangling network (LADN) for facial makeup and de-makeup. Central to our method are multiple and overlapping local adversarial discriminators in a content-style disentangling network for achieving local detail transfer between facial images, with the use of asymmet...

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Bibliographic Details
Main Authors: Gu, Qiao, Wang, Guanzhi, Chiu, Mang Tik, Tai, Yu-Wing, Tang, Chi-Keung
Format: Conference Proceeding
Language:English
Subjects:
Face
Gallium nitride
Generators
Image color analysis
Machine learning
Mouth
Periodic structures
Online Access:Request full text
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