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A Case Study of Creative Art Based on AI Generation Technology
| DC Field | Value | Language |
|---|---|---|
| dc.contributor.author | 강천천 | - |
| dc.contributor.author | 정진헌 | - |
| dc.date.accessioned | 2024-08-08T08:01:28Z | - |
| dc.date.available | 2024-08-08T08:01:28Z | - |
| dc.date.issued | 2023-06 | - |
| dc.identifier.issn | 2288-2847 | - |
| dc.identifier.issn | 2288-2855 | - |
| dc.identifier.uri | https://scholarworks.dongguk.edu/handle/sw.dongguk/20156 | - |
| dc.description.abstract | In recent years, with the breakthrough of Artificial Intelligence (AI) technology in deep learning algorithms such as Generative Adversarial Networks (GANs) and Variational Autoencoders (VAE), AI generation technology has rapidly expanded in various sub-sectors in the art field. 2022 as the explosive year of AIgenerated art, especially in the creation of AI-generated art creative design, many excellent works have been born, which has improved the work efficiency of art design. This study analyzed the application design characteristics of AI generation technology in two sub fields of artistic creative design of AI painting and AI animation production , and compares the differences between traditional painting and AI painting in the field of painting. Through the research of this paper, the advantages and problems in the process of AI creative design are summarized. Although AI art designs are affected by technical limitations, there are still flaws in artworks and practical problems such as copyright and income, but it provides a strong technical guarantee in the expansion of subdivisions of artistic innovation and technology integration, and has extremely high research value. | - |
| dc.format.extent | 6 | - |
| dc.language | 영어 | - |
| dc.language.iso | ENG | - |
| dc.publisher | 한국인터넷방송통신학회 | - |
| dc.title | A Case Study of Creative Art Based on AI Generation Technology | - |
| dc.title.alternative | A Case Study of Creative Art Based on AI Generation Technology | - |
| dc.type | Article | - |
| dc.publisher.location | 대한민국 | - |
| dc.identifier.doi | 10.7236/IJASC.2023.12.2.84 | - |
| dc.identifier.bibliographicCitation | The International Journal of Advanced Smart Convergence, v.12, no.2, pp 84 - 89 | - |
| dc.citation.title | The International Journal of Advanced Smart Convergence | - |
| dc.citation.volume | 12 | - |
| dc.citation.number | 2 | - |
| dc.citation.startPage | 84 | - |
| dc.citation.endPage | 89 | - |
| dc.identifier.kciid | ART002969405 | - |
| dc.description.isOpenAccess | N | - |
| dc.description.journalRegisteredClass | kci | - |
| dc.subject.keywordAuthor | AI Generation Technology | - |
| dc.subject.keywordAuthor | Deep Learning Algorithms | - |
| dc.subject.keywordAuthor | AI Art Design | - |
| dc.subject.keywordAuthor | AI Painting | - |
| dc.subject.keywordAuthor | AI Animation Production | - |
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