Generative AI in Virtual Media Image, Video, and Animation Generation

Generative AI in Virtual Media Image, Video, and Animation Generation

N. Rajkumar (Alliance School of Advanced Computing, Alliance University, India), C. Viji (Alliance School of Advanced Computing, Alliance University, India), Balusamy Nachiappan (Prologis, USA), A. Mohanraj (Sri Eshwar College of Engineering, India), G. Nagarajan (Saveetha School of Engineering, India), Jayavadivel Ravi (Presidency University, India), and Prabhu Shankar B. (Vel Tech Rangarajan Dr. Sagunthala R&D Institute of Science and Technology, India)
DOI: 10.4018/979-8-3373-1504-1.ch009
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Abstract

Generative Artificial Intelligence (AI) is revolutionizing the virtual media panorama by means of manner of allowing the advent of surprisingly practical and modern virtual content. Leveraging deep studying models like Generative Adverse Networks (GANs), Variational Autoencoders (VAEs), and diffusion models, generative AI helps the producing of images, motion pics, and animations that rival human creativity in each exceptional and detail. This technology is not simply reshaping inventive expression but also redefining industries which include leisure, marketing, education, and gaming. In photo era, generative AI has accomplished top notch milestones, from synthesizing hyper-sensible pix to growing surreal, innovative landscapes. Those fashions are knowledgeable on massive datasets, getting to know how to replicate styles and textures with extraordinary precision. Packages include virtual attempt-ons in style, more CGI effects in movies, or even growing digital twins for architectural visualizations.
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