系统梳理AI如何辅助图形设计，从理解到生成全流程
From Fragment to One Piece: A Survey on AI-Driven Graphic Design
- 按感知与生成两大方向分类AIGD技术体系
- 大语言模型和多模态融合提升设计意图理解能力
- 适合研究AI+设计的学者与创意工具开发者参考
本综述全面回顾了人工智能在图形设计（AIGD）领域的进展，聚焦于AI技术如何支持设计理解并增强创作过程。将该领域分为两大方向：感知任务（理解与分析设计元素）与生成任务（创造新设计元素与布局）。涵盖视觉元素感知与生成、审美与语义理解、版式分析与生成等子任务。强调大语言模型与多模态方法在连接局部视觉特征与全局设计意图中的作用。尽管取得显著进展，仍面临理解人类意图、保证可解释性及控制多层构图等挑战。本文为研究人员提供当前AIGD发展现状与未来方向的参考指引。
原文摘要 · Abstract (English)
This survey provides a comprehensive overview of the advancements in Artificial Intelligence in Graphic Design (AIGD), focusing on integrating AI techniques to support design interpretation and enhance the creative process. We categorize the field into two primary directions: perception tasks, which involve understanding and analyzing design elements, and generation tasks, which focus on creating new design elements and layouts. The survey covers various subtasks, including visual element perception and generation, aesthetic and semantic understanding, layout analysis, and generation. We highlight the role of large language models and multimodal approaches in bridging the gap between localized visual features and global design intent. Despite significant progress, challenges remain to understanding human intent, ensuring interpretability, and maintaining control over multilayered compositions. This survey serves as a guide for researchers, providing information on the current state of AIGD and potential future directions\footnote{https://github.com/zhangtianer521/excellent\_Intelligent\_graphic\_design}.
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