Recently, ChatGPT, along with DALL-E-2 and Codex, has been gaining significant attention
from society. As a result, many individuals have become interested in related resources and …

Generative adversarial networks (GANs) have recently become a hot research topic;
however, they have been studied since 2014, and a large number of algorithms have been …

We propose an alternative generator architecture for generative adversarial networks,
borrowing from style transfer literature. The new architecture leads to an automatically …

Generative Adversarial Networks (GANs) is a novel class of deep generative models that
has recently gained significant attention. GANs learn complex and high-dimensional …

Deep learning has produced state-of-the-art results for a variety of tasks. While such
approaches for supervised learning have performed well, they assume that training and …

Most conditional generation tasks expect diverse outputs given a single conditional context.
However, conditional generative adversarial networks (cGANs) often focus on the prior …

Pan-sharpening in remote sensing image fusion refers to obtaining multi-spectral images of
high-resolution by fusing panchromatic images and multi-spectral images of low-resolution …

Among the major remaining challenges for generative adversarial networks (GANs) is the
capacity to synthesize globally and locally coherent images with object shapes and textures …

We present a new method for synthesizing high-resolution photo-realistic images from
semantic label maps using conditional generative adversarial networks (conditional GANs) …

Although Generative Adversarial Networks (GANs) have shown remarkable success in
various tasks, they still face challenges in generating high quality images. In this paper, we …