AHCI RESEARCH GROUP
Publications
Papers published in international journals,
proceedings of conferences, workshops and books.
OUR RESEARCH
Scientific Publications
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You can expand the Abstract, Links and BibTex record for each paper.
2024
Chamola, V.; Bansal, G.; Das, T. K.; Hassija, V.; Sai, S.; Wang, J.; Zeadally, S.; Hussain, A.; Yu, F. R.; Guizani, M.; Niyato, D.
Beyond Reality: The Pivotal Role of Generative AI in the Metaverse Journal Article
In: IEEE Internet of Things Magazine, vol. 7, no. 4, pp. 126–135, 2024, ISSN: 25763180 (ISSN).
Abstract | Links | BibTeX | Tags: ]+ catalyst, 3D object, Diffusion, Generative adversarial networks, Generative model, Image objects, Immersive, Interconnected network, Metaverses, Physical reality, Video objects, Virtual landscapes, Virtual Reality
@article{chamola_beyond_2024,
title = {Beyond Reality: The Pivotal Role of Generative AI in the Metaverse},
author = {V. Chamola and G. Bansal and T. K. Das and V. Hassija and S. Sai and J. Wang and S. Zeadally and A. Hussain and F. R. Yu and M. Guizani and D. Niyato},
url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-85198004913&doi=10.1109%2fIOTM.001.2300174&partnerID=40&md5=03c679195e42e677de596d7a38df0333},
doi = {10.1109/IOTM.001.2300174},
issn = {25763180 (ISSN)},
year = {2024},
date = {2024-01-01},
journal = {IEEE Internet of Things Magazine},
volume = {7},
number = {4},
pages = {126–135},
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. © 2018 IEEE.},
keywords = {]+ catalyst, 3D object, Diffusion, Generative adversarial networks, Generative model, Image objects, Immersive, Interconnected network, Metaverses, Physical reality, Video objects, Virtual landscapes, Virtual Reality},
pubstate = {published},
tppubtype = {article}
}
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. © 2018 IEEE.