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

Vinay Chamola, Gaurang Bansal, Tridib Kumar Das, Vikas Hassija, Siva Sai, Jiacheng Wang, Sherali Zeadally, Amir Hussain, Fei Richard Yu, Mohsen Guizani, Dusit Niyato

Producción científica: Articlerevisión exhaustiva

55 Citas (Scopus)

Resumen

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.

Idioma originalEnglish
Páginas (desde-hasta)126-135
Número de páginas10
PublicaciónIEEE Internet of Things Magazine
Volumen7
N.º4
DOI
EstadoPublished - jul 1 2024

Nota bibliográfica

Publisher Copyright:
© 2018 IEEE.

Financiación

UK Engineering and Physical Sciences Research Council (EPSRC) Grants Ref. EP/ T021063/1, EP/ T024917/1.

FinanciadoresNúmero del financiador
UK Medical Research Council, Engineering and Physical Sciences Research CouncilEP/ T021063/1, EP/ T024917/1

    ASJC Scopus subject areas

    • Software
    • Computer Networks and Communications
    • Computer Science Applications
    • Hardware and Architecture
    • Information Systems

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