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arXiv · 2603.16098

LICA: Layered Image Composition Annotations for Graphic Design Research

Elad Hirsch·Shubham Yadav·Mohit Garg·Purvanshi Mehta
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Abstract

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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Elad Hirsch, Shubham Yadav, Mohit Garg, Purvanshi Mehta. 2026-03-18. LICA: Layered Image Composition Annotations for Graphic Design Research. https://arxiv.org/abs/2603.16098

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