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Area of Science:

  • Computer Science
  • Virtual Reality
  • Artificial Intelligence

Background:

  • The Metaverse, an immersive 3D virtual environment, faces challenges with content quality and user experience.
  • Artificial intelligence-generated content (AIGC) offers a solution for efficient and cost-effective digital content creation.

Purpose of the Study:

  • To investigate the relationship between the Metaverse and AIGC.
  • To analyze deep learning technologies supporting AIGC in the Metaverse context.

Main Methods:

  • Examined core neural network architectures of generative AI.
  • Conducted qualitative and quantitative analyses of AIGC's advantages, limitations, and hardware constraints.
  • Reviewed current Metaverse applications, focusing on healthcare and education.

Main Results:

  • AIGC significantly enhances Metaverse content creation and personalization.
  • Deep learning technologies underpin AIGC, but face hardware limitations.
  • Current Metaverse applications show promise but require further development.

Conclusions:

  • AIGC is a key enabler for Metaverse development, improving content and user engagement.
  • Closer alignment between AIGC technology and Metaverse development needs is essential for optimal immersion.
  • The synergy of AI, computer graphics, and HCI in AIGC-Metaverse integration redefines digital interaction and creativity.