构建155万张分层设计图数据集，支持结构化图文生成与编辑研究。
LICA: Layered Image Composition Annotations for Graphic Design Research
- 将设计拆解为带元数据的分层组件，支持精确结构操作。
- 包含27,261个动画布局及关键帧，覆盖97万种模板。
- 适合研究结构化设计生成、可控编辑与时间感知建模者。
我们提出LICA（Layered Image Composition Annotations），一个包含1,550,244个多层图形设计作品的大规模数据集，旨在推动对图形布局的结构化理解与生成。除渲染后的PNG图像外，LICA以层级结构表示每个设计，包含文本、图像、矢量和组元素等类型组件，并为每项元素配备丰富的元数据，如空间几何、字体属性、不透明度和可见性。数据集涵盖20类设计，包含971,850个唯一模板，覆盖真实世界的设计结构。我们进一步引入图形设计视频这一全新挑战，标注了27,261个动态布局，含每组件的关键帧与运动参数。除规模外，LICA确立了图形设计研究的新范式，支持层感知修复、结构化布局生成、受控设计编辑和时间感知生成建模等任务。通过将设计视为组件与关系的系统，该数据集支持直接作用于设计结构而非仅像素的模型研究。
原文摘要 · Abstract (English)
We introduce LICA (Layered Image Composition Annotations), a large scale dataset of 1,550,244 multi-layer graphic design compositions designed to advance structured understanding and generation of graphic layouts. In addition to rendered PNG images, LICA represents each design as a hierarchical composition of typed components including text, image, vector, and group elements, each paired with rich per-element metadata such as spatial geometry, typographic attributes, opacity, and visibility. The dataset spans 20 design categories and 971,850 unique templates, providing broad coverage of real-world design structures. We further introduce graphic design video as a new and largely unexplored challenge for current vision-language models through 27,261 animated layouts annotated with per-component keyframes and motion parameters. Beyond scale, LICA establishes a new paradigm of research tasks for graphic design, enabling structured investigations into problems such as layer-aware inpainting, structured layout generation, controlled design editing, and temporally-aware generative modeling. By representing design as a system of compositional layers and relationships, the dataset supports research on models that operate directly on design structure rather than pixels alone.
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