Facial Aesthetic Enhancement Network for Asian Faces Based on Differential Facial Aesthetic Activations

H Chen, W Li, X Gao, B Xiao, F Li… - ICASSP 2024-2024 …, 2024 - ieeexplore.ieee.org
In this paper, we addressed facial aesthetic enhancement (FAE). Although existing methods
have made great progress, the beautified images generated by them are highly prone to …

通过美颜保护人脸隐私.

汪涛, 张玉书赵若宇, 温文媖… - Journal of Frontiers of …, 2024 - search.ebscohost.com
社交网络上广泛传播的人脸图像易被未授权的自动识别系统推断出敏感信息,
这为用户隐私带来了威胁. 为保护用户隐私, 一些方法通过在人脸上添加具有可迁移性的扰动来 …

[PDF][PDF] GAN and their Chances and Risks in Face Generation and Manipulation

A Taphorn - Tagungsband, 2020 - d-nb.info
Generative adversarial networks (GAN) are powerful deep learning architectures that
revolutionized machine learning regarding the synthesis of data. The manipulation and …

深層学習手法による顔魅力要因の解釈可能性と産業応用への展望

佐野貴紀 - 応用数理, 2023 - jstage.jst.go.jp
機械学習や工学の分野で, 様々な応用を念頭にした顔画像の解析による研究が盛んになっている.
その中でも特に, 深層学習を用いて顔の魅力度を予測するモデルを構築する研究が注目を集めて …

[引用][C] Protecting Face Privacy via Beautification

W Tao, Z Yushu, Z Ruoyu, WEN Wenying… - Journal of Frontiers of …, 2024