Patent ID: 11935218
Assignee: CITY UNIVERSITY OF HONG KONG
Field: Computer technology (Electrical engineering)
Classification: CPC G | IPC G

Claim 0:
1. A method of providing an image to image translation using a style based generator architecture for generative adversarial networks, the method including applying a feature alignment loss function defined by:

LossFA=Σi=mnwi·L1(ϕ(GSM)i,ϕ(GTM)i), wherein;
m<n;
GSM and GTM are respective generators of a source model and a target model, wherein each of the source and target models has a plurality of layers of features the plurality of layers being arranged such that higher-level layers in the plurality of layers generate relatively coarse features including face outline and shapes while lower-level layers in the plurality of layers control super facial features including textures and colors;
ϕ(·)i is an extraction of the ith layer of features in the plurality of layers; and
wi represents a weight of L1 loss at the ith layer, wherein the L1 loss at a higher layer has a higher weight than the L1 loss at a lower layer so as to cause a source image and a target image translated from the source image according to the style based generator architecture to share more high-level features than low-level features.