15 citations · 15 across the 1 of their papers we have counts for
2 papers
cs.CV2021
EigenGAN: Layer-Wise Eigen-Learning for GANs
Zhenliang He, Meina Kan, Shiguang Shan
Recent studies on Generative Adversarial Network (GAN) reveal that different layers of a generative CNN hold different semantics of the synthesized images. However, few GAN models…
cs.CV2020★ 15 cited
PA-GAN: Progressive Attention Generative Adversarial Network for Facial Attribute Editing
Zhenliang He, Meina Kan, Jichao Zhang +1
Facial attribute editing aims to manipulate attributes on the human face, e.g., adding a mustache or changing the hair color. Existing approaches suffer from a serious compromise b…