Intelligent Graphic Layout Generation: Current Status and Future Perspectives

Graphic Layout Generation focuses on providing layout references for various visual design tasks, such as advertisement design and poster design. Researchers have conducted exploratory studies from different dimensions, such as human-computer interaction and layout representation. With the success of deep learning techniques, there has been a recent surge in research on graphic layout generation using deep generative models. Yet there are still no comprehensive studies on graphic layout generation. In this paper, we review methods for graphic layout generation from two perspectives: implementation and interactivity. We analyze the current status, the advantageous application scenarios, and the challenges of different methods. Based on the analysis results, we summarize the workflow of designers collaborating with graphic automatic layout systems and propose potential directions for future research.