Generative artificial intelligence (AI) has emerged as a powerful technology with numerous
applications in various domains. There is a need to identify the requirements and evaluation …

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 …

The Generative Models have gained considerable attention in unsupervised learning via a
new and practical framework called Generative Adversarial Networks (GAN) due to their …

Font generation is a challenging problem especially for some writing systems that consist of
a large number of characters and has attracted a lot of attention in recent years. However …

Single image super-resolution (SISR) has played an important role in the field of image
processing. Recent generative adversarial networks (GANs) can achieve excellent results …

How to generate multi-view images with realistic-looking appearance from only a single
view input is a challenging problem. In this paper, we attack this problem by proposing a …

Abstract Underwater Image Rendering aims to generate a true-to-life underwater image from
a given clean one, which could be applied to various practical applications such as …

GAN's are playing an important role in creating and generating a new set of data from the
previously available content. GAN models are impressive in the results for image and video …

Although current image generation methods have reached impressive quality levels, they
are still unable to produce plausible yet diverse images of handwritten words. On the …

We propose a system based on Generative Adversarial Networks (GAN) to produce
synthetic images of handwritten words. We use bidirectional LSTM recurrent layers to get an …