Design and Implementation of Metaverse Content Prototype Using Generative AI-based 3D Modeling

Abstract

In this paper, we propose to design and implement a prototype of a room decorating game in the metaverse using Text-to-3D generative AI technology. Virtual reality-based metaverse games like <Roblox> and <Minecraft> have enabled users to evolve from mere players to creators, contributing to their widespread popularity. Generative AI can easily create various forms of media content based on data and patterns, and it is equally useful in game development. Content creation through generative AI not only saves time and costs but also improves the quality and diversity of content. we designed and implemented a room decorating game using the Listen-Server method with Unreal Engine's network framework. The core system of this game allows users to easily generate 3D models using generative AI and place them in their rooms within the metaverse. This research demonstrates that, with a basic understanding of coding, users can create the metaverse platform they desire through easier methods of 3D object creation. This process enhances the user's sense of agency, creativity, and communication skills by allowing them to play both the roles of user and creator. Additionally, understanding basic coding principles expands the opportunities for users to engage in creative activities and contributes to the development of metaverse content.