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. While the base recipe is consistent across many visualization types, we demonstrate how it can be specifically adapted to the creation of different visualization types (bar charts, area charts, pie charts, and network visualizations). Our approach introduces techniques for using different prompts for different marks (i.e., each bar can be something completely different) while still retaining image "coherence." We conclude with an evaluation of the approach and discussion on extensions and limitations.

翻译：创建风格化可视化需要超越大多数工具所生成的有限、抽象的几何标记。相反，设计师构建风格化表达方式，使标记既被转换（例如，用蜡烛照片代替条形图），又被合成为突破传统可视化边界的“场景”。为此，我们提出viz2viz系统，该系统通过文本提示将可视化转换为风格化形式。该系统遵循一种高级方案，利用多种生成方法生成保留原始数据集属性的新可视化。尽管基础方案在多种可视化类型中保持一致，但我们展示了如何针对不同可视化类型（柱状图、面积图、饼图及网络可视化）进行具体适配。我们的方法引入了关键技术：为不同标记使用不同提示（即每个条形可完全独立变化），同时保持图像的“连贯性”。最后，我们对本方法进行评估，并讨论其扩展性与局限性。