Research on the Style Definition and Human Perceptual Differences between AI-Generated Illustrations and Original Illustrations

Abstract

This paper focuses on exploring the visual style differences between human original illustrations and AI-generated illustrations, and conducts an in-depth discussion around the identification path of the two. Firstly, it clarifies the core connotations and the development status at home and abroad of AI-generated illustrations and original illustrations, and constructs a definition framework for them from three dimensions: rapid visual screening, in-depth artistic analysis, and traceability verification. This provides a scientific method for audiences with different cognitive backgrounds, aesthetic experiences and cultural contexts to distinguish the two illustration styles, and solves the identification dilemma caused by individual perceptual differences. Finally, combined with the current social development needs, it proposes practical paths for education popularization and ability training: strengthen the curriculum design integrating art and technology, focus on cultivating students' critical use of AI tools, original thinking and style shaping awareness, and deepen the education of copyright ethics and creative responsibility, so as to provide theoretical support and practical reference for the healthy and orderly development of AI-generated illustrations.