Graphic Layout Generation

Graphic layout generation (GLG) focuses on automatically creating visually appealing and functional arrangements of design elements, aiming to automate tasks in graphic design. Current research emphasizes improving the accuracy and aesthetics of generated layouts, often employing transformer-based diffusion models, large language models (LLMs), or retrieval-augmented architectures to handle diverse constraints and multimodal inputs (text, images). These advancements are significant for boosting design productivity and democratizing access to professional-quality graphic design, impacting both the creative industries and the broader field of artificial intelligence.