From Fragment to One Piece: A Review on AI-Driven Graphic Design.

Area of Science:

• Computer Science
• Human-Computer Interaction
• Digital Art

Background:

• Artificial Intelligence (AI) is increasingly integrated into graphic design workflows.
• Existing research focuses on AI for design interpretation and creative process enhancement.
• The field of AI in Graphic Design (AIGD) is rapidly evolving.

Purpose of the Study:

• To provide a comprehensive overview of current advancements in AIGD.
• To categorize AIGD into perception and generation tasks.
• To identify challenges and future research directions in AIGD.

Main Methods:

• Survey of existing literature on AI applications in graphic design.
• Categorization of AIGD into perception (understanding design) and generation (creating design) tasks.
• Analysis of subtasks: visual element perception/generation, aesthetic/semantic understanding, layout analysis/generation.

Main Results:

• AIGD is advancing through perception and generation tasks, utilizing techniques like large language models and multimodal approaches.
• AI aids in understanding visual elements, aesthetics, semantics, and layout.
• Progress is noted in bridging visual features with design intent.

Conclusions:

• Significant progress has been made in AIGD, particularly in perception and generation.
• Challenges remain in understanding human intent, ensuring interpretability, and managing complex designs.
• The survey serves as a guide for researchers in the field of AIGD.