Diverse Layout Generation for Graphical Design Magazines

Abstract

We propose a system that automatically generates layouts for magazines that require graphical design. In this system, when images or texts are input as the content to be placed in layouts, an appropriate layout is automatically generated in consideration of content and design. The layout generation process is performed by randomized processing in accordance with a rule set of minimum conditions that must be satisfied for layouts (minimum condition rule set), where a large number of candidates are generated. An evaluation of appearance, style, design, and composition of the candidates are combined with an evaluation of their diverseness. Top candidates of the combined evaluation are returned. The automation makes the layout creation task performed by users such as graphical designers to be much more efficient. It also allows the user to choose from a wide range of ideas to create attractive layouts.