This paper presents an alternative generator architecture for image
gene...
In recent years, generative adversarial network (GAN)-based image genera...
Region-adaptive normalization (RAN) methods have been widely used in the...
The generator in the generative adversarial network (GAN) learns image
g...
This paper introduces a novel convolution method, called generative
conv...
Despite growing insights into the GAN training, it still suffers from
in...
Conditional generative adversarial networks (cGANs) have been widely
res...
Various power saving and contrast enhancement (PSCE) techniques have bee...