Infographics Wizard: Flexible Infographics Authoring and Design Exploration
Date
2022Author
Tyagi, Anjul
Zhao, Jian
Patel, Pushkar
Khurana, Swasti
Mueller, Klaus
Metadata
Show full item recordAbstract
Infographics are an aesthetic visual representation of information following specific design principles of human perception. Designing infographics can be a tedious process for non-experts and time-consuming, even for professional designers. With the help of designers, we propose a semi-automated infographic framework for general structured and flow-based infographic design generation. For novice designers, our framework automatically creates and ranks infographic designs for a user-provided text with no requirement for design input. However, expert designers can still provide custom design inputs to customize the infographics. We will also contribute an individual visual group (VG) designs dataset (in SVG), along with a 1k complete infographic image dataset with segmented VGs in this work. Evaluation results confirm that by using our framework, designers from all expertise levels can generate generic infographic designs faster than existing methods while maintaining the same quality as hand-designed infographics templates.
BibTeX
@article {10.1111:cgf.14527,
journal = {Computer Graphics Forum},
title = {{Infographics Wizard: Flexible Infographics Authoring and Design Exploration}},
author = {Tyagi, Anjul and Zhao, Jian and Patel, Pushkar and Khurana, Swasti and Mueller, Klaus},
year = {2022},
publisher = {The Eurographics Association and John Wiley & Sons Ltd.},
ISSN = {1467-8659},
DOI = {10.1111/cgf.14527}
}
journal = {Computer Graphics Forum},
title = {{Infographics Wizard: Flexible Infographics Authoring and Design Exploration}},
author = {Tyagi, Anjul and Zhao, Jian and Patel, Pushkar and Khurana, Swasti and Mueller, Klaus},
year = {2022},
publisher = {The Eurographics Association and John Wiley & Sons Ltd.},
ISSN = {1467-8659},
DOI = {10.1111/cgf.14527}
}
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