Reverse-Engineering Information Presentations: Recovering Hierarchical Grouping from Layouts of Visual Elements
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Abstract (arXiv)
Visual elements in an information presentation are often spatially and semantically grouped hierarchically for effective message delivery. Studying the hierarchical grouping information can help researchers and designers better explore layout structures and understand design demographics. However, recovering hierarchical grouping is challenging due to a large number of possibilities for compositing visual elements into a single-page design. This paper introduces an automatic approach that takes the layout of visual elements as input and returns the hierarchical grouping as output. To understand information presentations, we first contribute a dataset of 23,072 information presentations with diverse layouts to the community. Next, we propose our technique with a Transformer-based model to predict relatedness between visual elements and a bottom-up algorithm to produce the hierarchical grouping. Finally, we evaluate our technique through a technical experiment and a user study with 30 designers. The results show that the proposed technique is promising.
Key facts. Cited by 4 papers in the map (data through 7 Oct 2026). First posted on arXiv 13 Jan 2022.
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Citing papers per year: 2024: 4.
4 papers.
- 2024OpenING: A Comprehensive Benchmark for Judging Open-ended Interleaved Image-Text Generationcited by 30
- 2024LightVA: Lightweight Visual Analytics with LLM Agent-Based Task Planning and Executioncited by 20
- 2024Desigen: A Pipeline for Controllable Design Template Generationcited by 19
- 2024Spot the Error: Non-autoregressive Graphic Layout Generation with Wireframe Locatorcited by 5
- 2024OpenING: A Comprehensive Benchmark for Judging Open-ended Interleaved Image-Text Generation27 Nov 2024
- 2024LightVA: Lightweight Visual Analytics with LLM Agent-Based Task Planning and Execution8 Nov 2024
- 2024Desigen: A Pipeline for Controllable Design Template Generation14 Mar 2024
- 2024Spot the Error: Non-autoregressive Graphic Layout Generation with Wireframe Locator29 Jan 2024