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The Totality of Generative AI Film Color : Centered on Goethe's Principles and Characteristics of Color Composition

첫 페이지 보기
  • 발행기관
    국제인공지능학회(구 한국인터넷방송통신학회) 바로가기
  • 간행물
    The International Journal of Advanced Smart Convergence 바로가기
  • 통권
    Volume 14 Number 4 (2025.12)바로가기
  • 페이지
    pp.430-437
  • 저자
    Jongguk Kim
  • 언어
    영어(ENG)
  • URL
    https://www.earticle.net/Article/A481211

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원문정보

초록

영어
This study conducts a theoretical analysis of film color generated by Artificial Intelligence through the lens of Johann Wolfgang von Goethe's Zur Farbenlehre. It identifies the dominant digital color paradigm as Newtonian, a framework based on the quantitative manipulation of light as objective data. Conversely, this study posits Generative AI, specifically controllable Diffusion Models, as a technology capable of realizing a Goethean paradigm that is phenomenological, dynamic, and holistic. The research aims to deconstruct the analytic framework of digital color grading and re-evaluate AI's creative potential within Goethe's principles of polarity, intensification, and totality. The methodology employs a hermeneutic comparative analysis of Goethe's 1810 text and the technical principles of GANs and Diffusion Models. The study concludes that Generative AI mirrors Goethe’s dynamic principles by generating color from the interplay of light and dark, enabling the practical application of concepts like the Urphänomen and Steigerung. This approach offers a path toward achieving a totality of color in cinema that is affectively resonant and aligned with the human cognitive demand for completeness, elevating AI from a tool of data manipulation to a medium of phenomenological experience.

목차

Abstract
1. Introduction
1.1 Background of the Study
1.2. Necessity of the Study
1.3. Purpose and Content of the Study
2. Theoretical Background
2.1. Goethe's Theory of Colours: Totality and Phenomenological Approach
2.2. Principles of Image Generation in Generative AI
3. Methodology
4. Analysis of Goethean Totality in Generative AI Film Color
4.1. Polarity of Light and Dark: Recreating the Urphänomen via AI
4.2. Steigerung (Intensification) of Color: Dynamic Generation in Diffusion Models
4.3. Realizing Harmony and Totality: AI-Based Color Composition
4.4. Algorithmizing the Sensory-Moral Effect: Emotion-Based Color Generation
4.5. Hallucination and a New Totality: Aesthetic Features of Diffusion Models
5. Discussion
6. Conclusion and Suggestions
6.1. Conclusion
6.2. Suggestions for Future Research
Acknowledgement
References

키워드

Generative AI Goethe's Theory of Colours Film Color Totality Diffusion Models Phenomenology Urphänomen

저자

  • Jongguk Kim [ Professor, Division of Culture &Arts, Baekseok University, Korea ] Corresponding Author

참고문헌

자료제공 : 네이버학술정보

간행물 정보

발행기관

  • 발행기관명
    국제인공지능학회(구 한국인터넷방송통신학회) [The International Association for Artificial Intelligence]
  • 설립연도
    2000
  • 분야
    공학>전자/정보통신공학
  • 소개
    인터넷방송, 인터넷 TV , 방송 통신 네트워크 및 관련 분야에 대한 국내는 물론 국제적인 학술, 기술의 진흥발전에 공헌하고 지식 정보화 사회에 기여하고자 한다.

간행물

  • 간행물명
    The International Journal of Advanced Smart Convergence
  • 간기
    계간
  • pISSN
    2288-2847
  • eISSN
    2288-2855
  • 수록기간
    2012~2025
  • 십진분류
    KDC 326 DDC 380

이 권호 내 다른 논문 / The International Journal of Advanced Smart Convergence Volume 14 Number 4

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