Cited 0 time in
A Research on AI Generated 2D Image to 3D Modeling Technology
| DC Field | Value | Language |
|---|---|---|
| dc.contributor.author | 마카 | - |
| dc.contributor.author | 정진헌 | - |
| dc.date.accessioned | 2024-08-08T12:02:00Z | - |
| dc.date.available | 2024-08-08T12:02:00Z | - |
| dc.date.issued | 2024-05 | - |
| dc.identifier.issn | 2288-4920 | - |
| dc.identifier.issn | 2288-4939 | - |
| dc.identifier.uri | https://scholarworks.dongguk.edu/handle/sw.dongguk/22046 | - |
| dc.description.abstract | Advancements in generative AI are reshaping graphic and 3D content design landscapes, where AI not only enriches graphic design but extends its reach to 3D content creation. Though 3D texture mapping through AI is advancing, AI-generated 3D modeling technology in this realm remains nascent. This paper presents AI 2D image-driven 3D modeling techniques, assessing their viability in 3D content design by scrutinizing various algorithms. Initially, four OBJ model-exporting AI algorithms are screened, and two are further evaluated. Results indicate that while AI-generated 3D models may not be directly usable, they effectively capture reference object structures, offering substantial time savings and enhanced design efficiency through manual refinements. This endeavor pioneers new avenues for 3D content creators, anticipating a dynamic fusion of AI and 3D design. | - |
| dc.format.extent | 6 | - |
| dc.language | 영어 | - |
| dc.language.iso | ENG | - |
| dc.publisher | 한국인터넷방송통신학회 | - |
| dc.title | A Research on AI Generated 2D Image to 3D Modeling Technology | - |
| dc.title.alternative | A Research on AI Generated 2D Image to 3D Modeling Technology | - |
| dc.type | Article | - |
| dc.publisher.location | 대한민국 | - |
| dc.identifier.doi | 10.7236/IJIBC.2024.16.2.81 | - |
| dc.identifier.bibliographicCitation | The International Journal of Internet, Broadcasting and Communication, v.16, no.2, pp 81 - 86 | - |
| dc.citation.title | The International Journal of Internet, Broadcasting and Communication | - |
| dc.citation.volume | 16 | - |
| dc.citation.number | 2 | - |
| dc.citation.startPage | 81 | - |
| dc.citation.endPage | 86 | - |
| dc.identifier.kciid | ART003083449 | - |
| dc.description.isOpenAccess | N | - |
| dc.description.journalRegisteredClass | kci | - |
| dc.subject.keywordAuthor | AI Generated Technology | - |
| dc.subject.keywordAuthor | AI Painting | - |
| dc.subject.keywordAuthor | 3D Modelling | - |
| dc.subject.keywordAuthor | Generative Artificial Intelligence | - |
| dc.subject.keywordAuthor | 3D Content Design,Image 2D to 3D Model | - |
Items in ScholarWorks are protected by copyright, with all rights reserved, unless otherwise indicated.
30, Pildong-ro 1-gil, Jung-gu, Seoul, 04620, Republic of Korea+82-2-2260-3114
Copyright(c) 2023 DONGGUK UNIVERSITY. ALL RIGHTS RESERVED.
Certain data included herein are derived from the © Web of Science of Clarivate Analytics. All rights reserved.
You may not copy or re-distribute this material in whole or in part without the prior written consent of Clarivate Analytics.
