생성형 AI 기반 이미지 생성과 블렌더 파이썬 모델링을 활용한 실시간 콘텐츠 디자인 파이프라인에 관한 연구

• 영문명: A Study on a Real-Time Content Design Pipeline for Unreal Engine Using Generative AI-Based Image Creation and AI Modeling Tools
• 발행기관: 한국컴퓨터게임학회
• 저자명: 조옥희(Ok-Hue CHO)
• 간행물 정보: 『한국컴퓨터게임학회논문지』제38권 2호, 58~66쪽, 전체 9쪽
• 주제분류: 공학 > 컴퓨터학
• 파일형태: PDF
• 발행일자: 2025.06.30

국문 초록

This study proposes a real-time content design pipeline optimized for Unreal Engine, integrating generative AI-based image creation with AI-assisted 3D modeling tools. The pipeline aims to streamline the production of high-quality assets for real-time applications, including games and simulations. Two types of subjects were selected: a bust combining organic character features, and a stone slab characterized by planar and symmetrical structure. Multi-angle image data were first synthesized using advanced generative AI models to simulate diverse viewpoints. These were then processed using AI-enhanced photogrammetry and modeling tools to reconstruct detailed 3D meshes and extract base textures. Post-processing steps, including mesh decimation, UV unwrapping, and texture baking, were performed to ensure compatibility with Physically Based Rendering (PBR) workflows used in Unreal Engine. The final assets were successfully imported into Unreal Engine, demonstrating visual fidelity and performance suitability in a real-time environment. The study confirms the pipeline’s potential for accelerating asset development and suggests promising future directions in AI-driven digital content creation.

목차

1. 서론

2. 관련 연구

3. 연구 파이프라인

4. 이미지 생성 및 3D 모델링 자동화

5. 결론

참고문헌

키워드

Generative AI AI modeling tool unreal engine