.png){kind=icon}
.png){kind=icon}
Return
Facial image super-resolution network for confusing arbitrary gender classifiers
.png){kind=icon}
PRE
AI
DOI：10.1016/j.jvcir.2025.104642.png)
.png){kind=icon}
Original request for help.png){kind=icon}
Share.png){kind=icon}
Save
Abstract
En 中文
• Presenting a facial super-resolution method with gender privacy protection. • Designing a GAN-based model to achieve gender-protected facial super-resolution. • Leveraging leaping adversarial training to generalize the super-resolved facial images.
Keywords:
Adversarial training
Deep learning
Image super-resolution
Gender privacy
Journal
IF:
3.1
Papers:
414
Citations:
5.6K