Generative Artificial Intelligence (GAI) has sparked a transformative wave across various
domains, including machine learning, healthcare, business, and entertainment, owing to its …

Recently, generative adversarial networks (GANs) have progressed enormously, which
makes them able to learn complex data distributions in particular faces. More and more …

In the last few years, there have been several revolutions in the field of deep learning,
mainly headlined by the large impact of Generative Adversarial Networks (GANs). GANs not …

Many image processing, computer graphics, and computer vision problems can be treated
as image-to-image translation tasks. Such translation entails learning to map one visual …

Emotion recognition is a crucial application in human–computer interaction. It is usually
conducted using facial expressions as the main modality, which might not be reliable. In this …

Deep learning is transforming most areas of science and technology, including electron
microscopy. This review paper offers a practical perspective aimed at developers with …

This paper focuses on the crack detection and digital restoration of ancient mural cultural
heritage, proposing a comprehensive method that combines the Unet network structure and …

Multi-view clustering (MVC) has attached extensive attention as it provides an effective
approach to deal with the unlabeled data in real-world applications. To enjoy the strong …

Generative adversarial networks (GANs), a novel framework for training generative models
in an adversarial setup, have attracted significant attention in recent years. The two …

A smarter city should be a safer city. Nighttime safety in metropolitan areas has long been a
global concern, particularly for large cities with diverse demographics and intricate urban …