Designing infographics can be a tedious process for non-experts and time-consuming even for professional designers. Based on the literature and a formative study, we propose a flexible framework for automated and semi-automated infographics design. This framework captures the main design components in infographics and streamlines the generation workflow into three steps, allowing users to control and optimize each aspect independently. Based on the framework, we also propose an interactive tool, \name{}, for assisting novice designers with creating high-quality infographics from an input in a markdown format by offering recommendations of different design components of infographics. Simultaneously, more experienced designers can provide custom designs and layout ideas to the tool using a canvas to control the automated generation process partially. As part of our work, we also contribute an individual visual group (VG) and connection designs dataset (in SVG), along with a 1k complete infographic image dataset with segmented VGs. This dataset plays a crucial role in diversifying the infographic designs created by our framework. We evaluate our approach with a comparison against similar tools, a user study with novice and expert designers, and a case study. Results confirm that our framework and \name{} excel in creating customized infographics and exploring a large variety of designs.
翻译:对非专家和甚至对专业设计师来说,设计地图可能是一个乏味的过程,即使对专业设计师来说,也是一种耗费时间的过程。根据文献和成型研究,我们为自动和半自动的地图设计提出一个灵活的框架。这个框架捕捉了信息图表中的主要设计组成部分,将生成工作流程简化为三个步骤,使用户能够独立控制和优化每个方面。基于这个框架,我们还提议了一个互动工具,即\ name\,帮助新设计师从标记格式输入的高质量的图表,提供不同设计组成部分的建议。同时,更有经验的设计师可以向工具提供自定义设计和布局想法,使用画布来部分控制自动生成过程。作为我们工作的一部分,我们还贡献了一个单个的视觉组(VG)和连接设计数据集(SVG),以及一个1k完整的与分层VG的图像数据集。这个数据集在使由我们框架创建的不同设计格式设计格式设计设计多样化方面发挥着关键的作用。我们用一个类似的方法来评估我们的用户设计图和设计框架的对比,我们用一个类似于的模型研究工具来评估我们的方法。