Design the architecture for both the generator and discriminator networks. Start with simple architectures and gradually increase complexity based on your project requirements. Many libraries offer ...

While human brains have the ability to distinguish face characteristics, the use of advanced technology and artificial intelligence blurs the difference between actual and modified images. The ...

The first step to face generation with GANs is to understand the basic architecture and components of a GAN. A GAN consists of two networks: a generator and a discriminator. The generator takes a ...

Full face synthesis and partial face manipulation by virtue of the generative adversarial networks (GANs) and its variants have raised wide public concerns. In the multi-media forensics area, ...

Explore Generative Adversarial Networks (GANs) with our concise guide. Understand their core concepts, architecture, types, and training methods. Learn about their evolving role in advancing AI ...

A number of GAN-based caricature generation works have also been available in literature. These GAN-based methods mainly decouple the process of caricature generation into two steps, i.e., style ...

Fake video and audio might once again be poised to corrupt the most basic ways in which people process reality—or what’s left of it. So far, deepfakes have been limited by two factors baked ...