지원사업
학술연구/단체지원/교육 등 연구자 활동을 지속하도록 DBpia가 지원하고 있어요.
커뮤니티
연구자들이 자신의 연구와 전문성을 널리 알리고, 새로운 협력의 기회를 만들 수 있는 네트워킹 공간이에요.
논문 기본 정보
- 자료유형
- 학술저널
- 저자정보
- 발행연도
- 2024.2
- 수록면
- 95 - 109 (15page)
- DOI
- 10.5143/JESK.2024.43.1.95
이용수
초록· 키워드
오류제보하기
Objective: The aim of this study is to improve the performance of AI artists from a technical perspective by using AI platforms and training methods that encompass aspects such as image quality, text alignment, text generation, inference time, and training efficiency.
Background: With the rise and rapid development of Artificial Intelligence (AI), the art market has embraced its use. The rise of AI in the art market has simultaneously increased the productivity of designer characterization. AI painting is developing rapidly, It would also be interesting to study attribution in this area.
Method: By analyzing traditional and AI-based character creation methods using questionnaires and conducting in-depth interviews with 14 participants.
Results: Anthropometry was the most dominant area all the time. Health and safety area has been steadily increasing in publication amount.
Conclusion: The research aims to improve the performance of AI artists in terms of image quality, text alignment, text generation, inference time and training efficiency through AI platforms and training methods. Users tend to use AI to improve artist efficiency and believe that images generated through AI have commercial uses. However, AI cannot replace the joy and exploration of artists in creation, but serves as a valuable tool to improve creativity and painting efficiency. AI tools will completely change our work and lives when the technology matures.
Application: Research contributes to the application of AI in character creation and promotes sustainable development in the art field. This study contributes to the process of AI in character creation, which can help to promote the sustainable development of AI in the field of art, and provides further expansion of the IP of painted characters in the possible space.
Background: With the rise and rapid development of Artificial Intelligence (AI), the art market has embraced its use. The rise of AI in the art market has simultaneously increased the productivity of designer characterization. AI painting is developing rapidly, It would also be interesting to study attribution in this area.
Method: By analyzing traditional and AI-based character creation methods using questionnaires and conducting in-depth interviews with 14 participants.
Results: Anthropometry was the most dominant area all the time. Health and safety area has been steadily increasing in publication amount.
Conclusion: The research aims to improve the performance of AI artists in terms of image quality, text alignment, text generation, inference time and training efficiency through AI platforms and training methods. Users tend to use AI to improve artist efficiency and believe that images generated through AI have commercial uses. However, AI cannot replace the joy and exploration of artists in creation, but serves as a valuable tool to improve creativity and painting efficiency. AI tools will completely change our work and lives when the technology matures.
Application: Research contributes to the application of AI in character creation and promotes sustainable development in the art field. This study contributes to the process of AI in character creation, which can help to promote the sustainable development of AI in the field of art, and provides further expansion of the IP of painted characters in the possible space.
목차
1. Introduction
2. Method
3. Results
4. Discussion and Conclusion
References
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