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Beyond Reality: The Pivotal Role of Generative AI in the Metaverse

Authors :
Chamola, Vinay
Bansal, Gaurang
Das, Tridib Kumar
Hassija, Vikas
Sai, Siva
Wang, Jiacheng
Zeadally, Sherali
Hussain, Amir
Yu, Fei Richard
Guizani, Mohsen
Niyato, Dusit
Source :
IEEE Internet of Things Magazine; 2024, Vol. 7 Issue: 4 p126-135, 10p
Publication Year :
2024

Abstract

The Metaverse, an interconnected network of immersive digital realms, is poised to reshape the future by seamlessly merging physical reality with virtual environments. Its potential to revolutionize diverse aspects of human existence, from entertainment to commerce, underscores its significance. At the heart of this transformation lies Generative AI, a branch of artificial intelligence focused on creating novel content. Generative AI serves as a catalyst, propelling the Metaverse's evolution by enhancing it with immersive experiences. The Metaverse is comprised of three pivotal domains, namely, text, visual, and audio. The Metaverse's fabric intertwines with Generative AI models, ushering in innovative interactions. Within Visual, the triad of image, video, and 3D Object generation sets the stage for engaging virtual landscapes. Key to this evolution is five generative models: Transformers, Diffusion, Autoencoders, Autoregressive, and Generative Adversarial Networks (GANs). These models empower the Metaverse, enhancing it with dynamic and diverse content. Notably, technologies like BARD, Point-E, Stable Diffusion, DALL-E, GPT, and AIVA, among others, wield these models to enrich the Metaverse across domains. By discussing the technical issues and real-world applications, this study reveals the intricate tapestry of AI's role in the Metaverse. Anchoring these insights is a case study illuminating Stable Diffusion's role in metamorphosing the virtual realm. Collectively, this exploration illuminates the symbiotic relationship between Generative AI and the Metaverse, foreshadowing a future where immersive, interactive, and personalized experiences blackefine human engagement with digital landscapes.

Details

Language :
English
ISSN :
25763180 and 25763199
Volume :
7
Issue :
4
Database :
Supplemental Index
Journal :
IEEE Internet of Things Magazine
Publication Type :
Periodical
Accession number :
ejs66914305
Full Text :
https://doi.org/10.1109/IOTM.001.2300174