• Lt. Dr. D. Antony Arul Raj
• Dr. K. V. Rukmani
• Mr. Srikanth P
• Ms. Pavithra V
• Mr. Kanish S

This study explores the improvements and uses of Generative Adversarial Networks (GANs) with computer vision integration. We cover opportunities and obstacles as we examine the applicability of GANs in computer vision, starting with its foundations. In order to clarify GAN principles, evaluate their effectiveness in the creation and modification of images, and determine their influence on different computer vision applications, we pinpoint important domains where GANs might transform work. Through the synthesis of current research, we add to the conversation around Artificial Intelligence (AI)-driven advancements in computer vision.

GANs, Computer Vision, Integration, Image Generation, Image Manipulation, AI-driven Innovations.

"Generative Adversarial Networks: An Overview", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.11, Issue 3, page no.k541-k546, March-2024, Available :http://www.jetir.org/papers/JETIR2403A69.pdf

"Generative Adversarial Networks: An Overview", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.11, Issue 3, page no. ppk541-k546, March-2024, Available at : http://www.jetir.org/papers/JETIR2403A69.pdf