Generative Adversarial Networks (GANs) have transformed the field of generative modeling, enabling the creation of highly realistic data across multiple domains. However, the challenge of “hallucination,” where the generator produces unrealistic or implausible outputs, persists. This article explores technical strategies to mitigate hallucination in GANs. Understanding Hallucination in GANs Hallucination in GANs occurs when the…
Generative AI (GenAI) has made significant strides in recent years, revolutionizing various fields such as natural language processing, image generation, and artistic creation. However, one area where GenAI often falls short is accurately adding colors to black-and-white images. This task, which may seem straightforward at first glance, is fraught with challenges that reveal the limitations…
Generative Artificial Intelligence (GenAI) has transformed the landscape of machine learning, enabling machines to create images, music, text, and even entire virtual environments. The journey of GenAI is marked by groundbreaking research that has paved the way for its current capabilities. In this blog post, we will explore five seminal papers that have significantly contributed…