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}.

翻译：本综述全面概述了人工智能在平面设计（AIGD）领域的研究进展，重点关注如何整合人工智能技术以支持设计解读并增强创作过程。我们将该领域划分为两个主要方向：感知任务（涉及设计元素的理解与分析）和生成任务（专注于创建新的设计元素与布局）。综述涵盖多个子任务，包括视觉元素感知与生成、美学与语义理解、布局分析与生成。我们重点阐述了大语言模型与多模态方法在弥合局部视觉特征与全局设计意图之间鸿沟的作用。尽管已取得显著进展，但在理解人类意图、确保可解释性以及保持对多层次构图的控制方面仍存在挑战。本综述为研究人员提供了指南，系统阐述了AIGD的现状与未来潜在发展方向\footnote{https://github.com/zhangtianer521/excellent\_Intelligent\_graphic\_design}。