Generative Artificial Intelligence in the Metaverse Era: A Review on Models and Applications

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.