viz2viz: Prompt-driven stylized visualization generation using a diffusion model

Understand

Creating stylized visualization requires going beyond the limited, abstract, geometric marks produced by most tools.

• Rather, the designer builds stylized idioms where the marks are both transformed (e.g., photographs of candles instead of bars) and also synthesized into a 'scene' that pushes the boundaries of traditional visualizations.
• To support this, we introduce viz2viz, a system for transforming visualizations with a textual prompt to a stylized form.
• The system follows a high-level recipe that leverages various generative methods to produce new visualizations that retain the properties of the original dataset.