SOURCE-LINKED INTELLIGENCE
Beyond Atomic Layouts: Compositional Design Understanding with Vision-Language Models
Layout understanding, or the interpretation of element organization, is essential for document analysis, user interface (UI) creation, and graphic design. While recent vision-language models (VLMs) excel at interpreting atomic layouts composed of independent elements, they struggle with compositional layouts that require reasoning over visually entangled elements within hierarchical multi-layer structures. In this paper, we introduce a new task, compositional layout understanding, and present CoDeLayout, a VQA dataset of ~20K real-world multi-layer layouts annotated with compositional element
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Evidence & attribution
- arXiv · AI, language, vision and robotics · 2026-08-27T07:10:42.000Z
First collected: 2026-09-21T08:51:59.673Z. This is not the publication date.