어도비 포토샵의 생성형 AI의 생성방법에 대한 연구: 형태에 대하여

초록

This study analyzes the generative AI technology of Adobe Photoshop, examining its theoretical background in digital image reproduction and comparing it with model-based AIs such as MidJourney and Stable Diffusion. The research highlights the impact of Adobe's 2019 Content-Aware technology on the advancement of generative AI and discusses the technological innovations that transcend it. Adobe Photoshop's generative AI heavily relies on the quality and richness of the source image. While it produces natural and consistent results with sufficient data, it faces challenges in detail and coherence when the data is insufficient or lacks cultural and contextual understanding. Experiments investigated the effects of bitmap conversion and post-processing on image quality, proposing improvements in algorithmic precision and detail refinement. Resolution chart and pattern reproduction tests revealed that boundary recognition accuracy significantly impacts output quality, emphasizing the need to enhance algorithms for preserving original characteristics. This study identifies current limitations of generative AI and explores its potential for advancements in animation, 3D modeling, and virtual reality through enhanced detail precision and contextual comprehension.

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