Research on the applicability of generative artificial intelligence in image generation
Abstract
The maturing Artificial Intelligence technology can produce diverse images through text prompts, useful for scene creation, conceptual modeling, and virtual illustrations. As AI art gains traction, artists increasingly employ AI image generation tools to spark or augment their creative process. This study aims to compare various AI image generation tools’ applications across fields, exploring factors like image composition and user evaluations to aid tool selection.Five representative AI image generation tools were chosen: Midjourney, Leonardo.Ai, Deep AI, Stable Diffusion, and Playground AI. Through literature review, factors such as clarity, color, contrast, lighting, and composition were identified as criteria for judging image quality. Differences among these factors across tools influence generated image style, quality, and diversity.A questionnaire survey was conducted to understand image characteristics generated by different AI tools, allowing respondents to evaluate them. Subjects’ preferences and evaluations of AI-generated images may vary, influenced by their educational background and personal inclinations.A comprehensive literature review highlights differences and similarities in AI image generation tool applications across fields, delineating their respective advantages and limitations. This study&s;s findings offer insights into AI tool applicability across domains and inform users’ tool selection.
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