Advancements in Generative AI for Image Synthesis
Author : Aditya Kumar Sharma Journa Name: INTERNATIONAL JOURNAL OF SCIENTIFIC RESEARCH AND ENGINEERING TRENDS Country : India Volume: 10 issue: 3 Year: 2024 Views : 569Generative Artificial Intelligence (AI) has made sig- nificant strides in recent years, particularly in the field of image synthesis. Techniques such as Generative Adversarial Networks (GANs) and Variational Autoencoders (VAEs) have enabled the creation of highly realistic images. This paper explores recent advancements in generative AI, focusing on the improvements in GAN architectures, their applications in various industries, and the challenges that remain. Experimental results demonstrate the enhanced capabilities of state-of-the-art models in generating high-quality images. Future directions for research are also discussed.
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