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Research on Creative Expression of 3D Animation Using Vid2Vid Style Transfer Technology in Generative AI

Authors
마카정진헌
Issue Date
Dec-2024
Publisher
한국인터넷방송통신학회
Keywords
Vid2vid Style Transfer; AI Generated Technology; AI Painting; Generative Artificial Intelligence; 3D Animation,Stable Diffsuion
Citation
International Journal of Advanced Smart Convergence, v.13, no.4, pp 260 - 265
Pages
6
Indexed
KCI
Journal Title
International Journal of Advanced Smart Convergence
Volume
13
Number
4
Start Page
260
End Page
265
URI
https://scholarworks.dongguk.edu/handle/sw.dongguk/56824
DOI
10.7236/IJASC.2024.13.4.260
ISSN
2288-2847
2288-2855
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.
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