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Supporting Expressive and Faithful Pictorial Visualization Design with Visual Style Transfer
IEEE Transactions on Visualization and Computer Graphics
|September 26, 2022
Summary
This study introduces Vistylist, a novel tool for creating pictorial visualizations. Vistylist uses visual style transfer to enable flexible and expressive data visualization design.
Area of Science:
- Computer Science
- Data Visualization
- Human-Computer Interaction
Background:
- Existing pictorial visualization tools are limited to specific types and templates.
- There is a need for more extensible approaches to visualization design.
Purpose of the Study:
- To introduce Vistylist, a design support tool for pictorial visualizations.
- To enable augmentation of pictorial visualization authoring with visual style transfer.
Main Methods:
- Developed Vistylist, a tool that disentangles visual style from content in pictorial visualizations.
- Applied visual style transfer to transfer style between visualizations.
- Evaluated Vistylist through surveys, user studies, and expert interviews.
Main Results:
- Vistylist successfully disentangles and transfers visual styles.
- User studies and expert interviews confirmed Vistylist's utility.
- The tool facilitates the creation of expressive and faithful pictorial visualizations.
Conclusions:
- Vistylist offers an extensible approach to pictorial visualization design.
- Visual style transfer is a viable method for enhancing visualization authoring.
- The tool is useful for creating high-quality, stylized data visualizations.
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