The emergence of generative adversarial networks is another milestone in the field of
computer vision. It provides a new tool for solving various image prediction problems. For …

In recent years, there have been tremendous advancements in the field of machine learning.
These advancements have been made through both academic as well as industrial …

In the last few years, a type of generative model known as Generative Adversarial Networks
(GANs), has achieved tremendous success mainly in the field of computer vision, image …

In recent years, generative adversarial networks have been widely used in various image-
processing tasks and have shown good performance. Scholars at home and abroad have …

In the area of artificial intelligence, Generative Adversarial Networks (GANs) have
developed as an innovative form of generative modelling. GANs have created immense …

The possibilities of using generative adversarial networks (GANs) are enormous due to the
possibility of generating new data that can deceive the classifier. The zero-sum game …

The appearance of generative adversarial networks (GAN) provides a new approach and
framework for computer vision. Compared with traditional machine learning algorithms, GAN …

With its strong adversary learning ability, generative adversarial networks (GAN) is favored
by more and more researchers in many fields. This paper expounds the development …

Since their introduction in 2014 Generative Adversarial Networks (GANs) have been
employed successfully in many areas such as image processing, computer vision, medical …

General Adversarial Network, or GAN, a novel algorithm that is efficient and not too
sophisticated for most computer engineers with often greater precision than other existing …