Convergence of Internet, Broadcasting and Communication
From Text to 3D: An Automated 2D-to-3D Modeling Pipeline Based on DeepSeek and AI Transformation Tools
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- 발행기관
- 국제인공지능학회(구 한국인터넷방송통신학회) 바로가기
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- 간행물
- International Journal of Internet, Broadcasting and Communication 바로가기
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- 통권
- Vol.17 No.3 (2025.08)바로가기
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- 페이지
- pp.113-127
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- 저자
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- 언어
- 영어(ENG)
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- URL
- https://www.earticle.net/Article/A472236
※ 원문제공기관과의 협약기간이 종료되어 열람이 제한될 수 있습니다.
원문정보
초록
- 영어
- With the rapid development of generative artificial intelligence technologies, traditional workflows in 2D image creation and 3D modeling are being restructured through intelligent approaches. This paper proposes an automated modeling pipeline based on the DeepSeek text generation system and AI-based image/model transformation tools. The pipeline is designed to initiate from textual descriptions, generate corresponding 2D images through AI illustration, and then automatically convert them into 3D models with texture mapping. Empirical evaluations demonstrate that this workflow not only significantly enhances modeling efficiency but also lowers the entry barrier to 3D modeling, offering a novel path for content generation in virtual reality, digital art, and the gaming industry.
목차
Abstract
1. Introduction
2. Related Work
2.1 Text-to-Image Generation
2.2 Image-to-3D Reconstruction
2.3 AI-based Texture and UV Mapping
3. Methodology
3.1 System Structure Overview
3.2 Keyword and Image Description Generation
3.3 Image Generation
3.4 Image-to-3D Modeling
3.5 Texture Adjustment and Rendering
4. Experiments and Case Study
4.1 Experimental Process Overview
4.2 Case Demonstrations and Analysis
4.3 Comparative Evaluation: AI-generated vs Manually Modeled Assets
4.4 Analysis of limitations
5. Discussion
5.1 Broader Application Scenarios
5.2 Limitations of Texture Mapping and Directions for Improvement
5.3 Limitations in User Control and Interface Design Recommendations
6. Conclusion
References
키워드
Text-based Generation AI Illustration 2D-to-3D Conversion DeepSeek 3D Modeling Generative AI Digital Content Creation저자
간행물 정보
발행기관
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- 발행기관명
- 국제인공지능학회(구 한국인터넷방송통신학회) [The International Association for Artificial Intelligence]
- 설립연도
- 2000
- 분야
- 공학>전자/정보통신공학
- 소개
- 인터넷방송, 인터넷 TV , 방송 통신 네트워크 및 관련 분야에 대한 국내는 물론 국제적인 학술, 기술의 진흥발전에 공헌하고 지식 정보화 사회에 기여하고자 한다.
간행물
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- 간행물명
- International Journal of Internet, Broadcasting and Communication
- 간기
- 계간
- pISSN
- 2288-4920
- eISSN
- 2288-4939
- 수록기간
- 2009~2025
- 십진분류
- KDC 326 DDC 380
이 권호 내 다른 논문 / International Journal of Internet, Broadcasting and Communication Vol.17 No.3
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