Infographics Wizard: Flexible Infographics Authoring and Design Exploration
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Abstract (arXiv)
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.
Key facts. Cited by 3 papers in the map (data through 14 Oct 2026). Builds on 12 of its 46 references that are in the map. First posted on arXiv 21 Apr 2022.
Builds on
12 of 46 references.
References · 12
- 2017Mask R-CNNcited by 7,277
- 2018Data2Vis: Automatic Generation of Data Visualizations Using Sequence to Sequence Recurrent Neural Networkscited by 48
- 2018VizML: A Machine Learning Approach to Visualization Recommendationcited by 38
- 2019Text-to-Viz: Automatic Generation of Infographics from Proportion-Related Natural Language Statementscited by 31
- 2020Predicting Visual Importance Across Graphic Design Typescited by 30
- 2019Towards Automated Infographic Design: Deep Learning-based Auto-Extraction of Extensible Timelinecited by 20
- 2021InfoColorizer: Interactive Recommendation of Color Palettes for Infographicscited by 15
- 2018Synthetically Trained Icon Proposals for Parsing and Summarizing Infographicscited by 6
- 2019Task Classification Model for Visual Fixation, Exploration, and Searchcited by 5
- 2017Understanding Infographics through Textual and Visual Tag Predictioncited by 4
- 2019ICE: An Interactive Configuration Explorer for High Dimensional Categorical Parameter Spacescited by 2
- 2021User-Centric Semi-Automated Infographics Authoring and Recommendationcited by 2
Built on by
Citing papers per year: 2023: 1; 2024: 0; 2025: 0; 2026: 2.
3 papers.
- 2023Where Are We So Far? Understanding Data Storytelling Tools from the Perspective of Human-AI Collaborationcited by 13
- 2026Show Me the Infographic I Imagine: Intent-Aware Infographic Retrieval for Authoring Supportcited by 0
- 2026InfoAgent: Traceable Generation and Repair of Evidence-Grounded Infographicscited by 0
- 2026InfoAgent: Traceable Generation and Repair of Evidence-Grounded Infographics30 Sep 2026
- 2026Show Me the Infographic I Imagine: Intent-Aware Infographic Retrieval for Authoring Support9 Apr 2026
- 2023Where Are We So Far? Understanding Data Storytelling Tools from the Perspective of Human-AI Collaboration27 Sep 2023