Conditional GANs are frequently used for manipulating the attributes of face
images, such as expression, hairstyle, pose, or age. Even though the
state-of-the-art models successfully modify the requested attributes, they
simultaneously modify other important characteristics of the image, such as a
person's identity. In this paper, we focus on solving this problem by
introducing PluGeN4Faces, a plugin to StyleGAN, which explicitly disentangles
face attributes from a person's identity. Our key idea is to perform training
on images retrieved from movie frames, where a given person appears in various
poses and with different attributes. By applying a type of contrastive loss, we
encourage the model to group images of the same person in similar regions of
latent space. Our experiments demonstrate that the modifications of face
attributes performed by PluGeN4Faces are significantly less invasive on the
remaining characteristics of the image than in the existing state-of-the-art
models.

通过将 TypeIVBasicCard-B（T - 基本卡 - B）上的 TypeI 基本卡 - B（T - 基本卡 - B）与 TypeI 机读卡 - B（T - 机读卡 - B）及 TypeI 机读卡基础数据 - B（T - 基础数据机读卡 - B）结合设置在 TypeIV-B（T - 基本卡 - B）上，可按材料基础建立既定基本卡 - B（T - 既定基本卡 - B）；通过在 TypeIV-B（T - 基本卡 - B）上设置 TypeII 证件單位 - B（T - 证件單位 - B）及 TypeIII 办事处 - B（T - 办事处 - B），可在已有证件基本卡 - B（T - 证件基本卡 - B）填写办证所需信息后，通过已有证件基本卡 - B（T - 办证所需信息 B）向申请人提出开户要求，并通过设置 T - 证件基本卡 - B 展示及更新申请人概述 - B（T - 展示及更新申请人概述 - B）的一系列选定项 (B)，实现无法更新已有证件文件申请人开户要求。