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Feb, 2022
GAN生成的面孔检测：综述和新视角
GAN-generated Faces Detection: A Survey and New Perspectives
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Xin Wang, Hui Guo, Shu Hu, Ming-Ching Chang, Siwei Lyu
TL;DR
通过分析当前GAN人脸检测的研究方向和方法，本文对深度学习、物理学、生理学以及与人类视觉性能的评估和比较等方法进行了分类，总结出不同类别的关键思路并与其具体实现相联系，讨论了存在的问题并提出了未来研究方向。
Abstract
generative adversarial networks
(
gan
) have led to the generation of very realistic face images, which have been used in fake social media accounts and other disinformation matters that can generate profound impac
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