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Research on Creative Expression of 3D Animation Using Vid2Vid Style Transfer Technology in Generative AI
| DC Field | Value | Language |
|---|---|---|
| dc.contributor.author | 마카 | - |
| dc.contributor.author | 정진헌 | - |
| dc.date.accessioned | 2025-01-15T07:30:23Z | - |
| dc.date.available | 2025-01-15T07:30:23Z | - |
| dc.date.issued | 2024-12 | - |
| dc.identifier.issn | 2288-2847 | - |
| dc.identifier.issn | 2288-2855 | - |
| dc.identifier.uri | https://scholarworks.dongguk.edu/handle/sw.dongguk/56824 | - |
| dc.description.abstract | In the past two years, generative AI painting has not only been brilliant in the field of design, but also has been widely used in other fields. However, just generating a single AI photo is no longer enough to meet the growing needs of design. With the continuous development of AI video generation technology, design teams have more AI tools to choose from. In this paper, through the research of vid2vid style transfer technology, the basic 3D animation video can be quickly converted into a variety of animation video style, the analysis shows that the technology can be better applied in the field of 3D animation, and has a wide range of development prospects and application potential. Although some problems were found in the testing phase, they have been solved, and by exploring the application of new technologies, we can better promote the creative expression of 3D animation and improve the productivity of designers. | - |
| dc.format.extent | 6 | - |
| dc.language | 영어 | - |
| dc.language.iso | ENG | - |
| dc.publisher | 한국인터넷방송통신학회 | - |
| dc.title | Research on Creative Expression of 3D Animation Using Vid2Vid Style Transfer Technology in Generative AI | - |
| dc.type | Article | - |
| dc.publisher.location | 대한민국 | - |
| dc.identifier.doi | 10.7236/IJASC.2024.13.4.260 | - |
| dc.identifier.bibliographicCitation | International Journal of Advanced Smart Convergence, v.13, no.4, pp 260 - 265 | - |
| dc.citation.title | International Journal of Advanced Smart Convergence | - |
| dc.citation.volume | 13 | - |
| dc.citation.number | 4 | - |
| dc.citation.startPage | 260 | - |
| dc.citation.endPage | 265 | - |
| dc.identifier.kciid | ART003161863 | - |
| dc.description.isOpenAccess | N | - |
| dc.description.journalRegisteredClass | kci | - |
| dc.subject.keywordAuthor | Vid2vid Style Transfer | - |
| dc.subject.keywordAuthor | AI Generated Technology | - |
| dc.subject.keywordAuthor | AI Painting | - |
| dc.subject.keywordAuthor | Generative Artificial Intelligence | - |
| dc.subject.keywordAuthor | 3D Animation,Stable Diffsuion | - |
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