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

다국어 초록 (Multilingual Abstract)

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.