The Role of Generative AI Models in Images Retrieval from Text Queries

Abstract

Image retrieval, is the task of finding visually similar images in a database given a query image, has seen significant advancements through the incorporation of generative models. These models have revolutionized the way we perceive and interact with visual data, where these models are offering the ability not just to replicate existing data but to generate entirely new and meaningful content. In the computer vision domain, the integration of generative models holds immense potential, particularly in the domain of image retrieval. Where traditional image retrieval techniques often rely on metadata or simplistic features, that leads to limiting their ability to handle the complex and diverse nature of visual data. this study aims to explores the abilities of Generative models, such as Generative Adversarial Networks (GANs), that have demonstrated the capability to capture intricate patterns and semantic information within images, opening new avenues for content-based image retrieval.