A Study on Visual Art Production through Collaborative Image Generation Using Artificial Intelligence and Unreal Engine
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Artificial intelligence (AI) technology is increasingly influencing creative processes, video arts, and other domains previously regarded as uniquely human. Traditionally, 3D animation production followed a linear process; however, it is now transitioning toward a nonlinear approach that leverages AI image generation models. This shift enables the rapid visualization of initial plans, concepts, and ideas while enhancing the overall quality through iterative real-time modifications and improvements facilitated by real-time game engines. In this paper, we analyze the pre-production process utilizing ComfyUI, a node-based visual scripting tool for Stable Diffusion, and examine a pipeline for creating and refining digital humans using iClone and Unreal Engine. This study seeks to explore the potential for new forms of artistic expression that transcend traditional production pipelines.
Abstract
Artificial intelligence (AI) technology is increasingly influencing creative processes, video arts, and other domains previously regarded as uniquely human. Traditionally, 3D animation production followed a linear process; however, it is now transitioning toward a nonlinear approach that leverages AI image generation models. This shift enables the rapid visualization of initial plans, concepts, and ideas while enhancing the overall quality through iterative real-time modifications and improvements facilitated by real-time game engines. In this paper, we analyze the pre-production process utilizing ComfyUI, a node-based visual scripting tool for Stable Diffusion, and examine a pipeline for creating and refining digital humans using iClone and Unreal Engine. This study seeks to explore the potential for new forms of artistic expression that transcend traditional production pipelines.
참고문헌 (11)
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