Facial image super-resolution network for confusing arbitrary gender classifiers

doi:10.1016/j.jvcir.2025.104642

2025-11-11

PRE

DOI：10.1016/j.jvcir.2025.104642

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摘要

En 中文

• 提出一种具有性别隐私保护的面部超分辨率方法。 • 设计一种基于GAN的模型以实现性别保护的面部超分辨率。 • 利用跳跃式对抗训练来泛化超分辨率处理后的面部图像。

Keyword:

Adversarial training

Deep learning

Image super-resolution

Gender privacy

期刊

Journal of Visual Communication and Image Representation

IF:

3.1

论文数:

532

被引数:

5.6K

机构

changsha environmental protection vocational college

学者数:

论文数: 8

被引数: 0

hunan university

学者数:

4.5W

论文数: 3.3W

被引数: 70

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