A Study on Effective Unreal Interactive Level Implementation Using Stable Diffusion
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초록
This study analyzes and proposes various types of interactive level design implementation methods using Stable Diffusion, a representative system of artificial intelligence visualization in a virtual environment based on Unreal Engine. Stable Diffusion is a representative artificial intelligence visualization system along with Midjourney and is applied to various programs and tools. It is an artificial intelligence visualization system that naturally applies text to image and image to image based on prompt input, as well as body motion changes with simple additional work. . Unreal engine is a representative game engine that has been updated up to 5.2, and 5.1 was used in this study. Unreal Engine is widely used not only for games but also for animation, film CG, architecture, and digital twins. Although it is a game engine, it is a program that is increasingly being used as a content authoring tool other than games. This paper analyzes and proposes a process that can implement an effective interactive level by combining this Stable Diffusion with the Unreal engine. It can be said that artificial intelligence is already being applied to various 2D and 3D contents, leading to actual publishing. This study analyzed the methodology of implementing visual results by effectively integrating the current Unreal Engine and artificial intelligence, and confirmed the foundation for effective construction.
Abstract
This study analyzes and proposes various types of interactive level design implementation methods using Stable Diffusion, a representative system of artificial intelligence visualization in a virtual environment based on Unreal Engine. Stable Diffusion is a representative artificial intelligence visualization system along with Midjourney and is applied to various programs and tools. It is an artificial intelligence visualization system that naturally applies text to image and image to image based on prompt input, as well as body motion changes with simple additional work. . Unreal engine is a representative game engine that has been updated up to 5.2, and 5.1 was used in this study. Unreal Engine is widely used not only for games but also for animation, film CG, architecture, and digital twins. Although it is a game engine, it is a program that is increasingly being used as a content authoring tool other than games. This paper analyzes and proposes a process that can implement an effective interactive level by combining this Stable Diffusion with the Unreal engine. It can be said that artificial intelligence is already being applied to various 2D and 3D contents, leading to actual publishing. This study analyzed the methodology of implementing visual results by effectively integrating the current Unreal Engine and artificial intelligence, and confirmed the foundation for effective construction.
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