A Survey for Graphic Design Intelligence
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Abstract (arXiv)
Graphic design is an effective language for visual communication. Using complex composition of visual elements (e.g., shape, color, font) guided by design principles and aesthetics, design helps produce more visually-appealing content. The creation of a harmonious design requires carefully selecting and combining different visual elements, which can be challenging and time-consuming. To expedite the design process, emerging AI techniques have been proposed to automatize tedious tasks and facilitate human creativity. However, most current works only focus on specific tasks targeting at different scenarios without a high-level abstraction. This paper aims to provide a systematic overview of graphic design intelligence and summarize literature in the taxonomy of representation, understanding and generation. Specifically we consider related works for individual visual elements as well as the overall design composition. Furthermore, we highlight some of the potential directions for future explorations.
Key facts. Cited by 9 papers in the map (data through 7 Oct 2026). First posted on arXiv 4 Sep 2023.
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Citing papers per year: 2024: 6; 2025: 2; 2026: 1.
9 papers.
- 2024Alfie: Democratising RGBA Image Generation With No cited by 20
- 2024Desigen: A Pipeline for Controllable Design Template Generationcited by 19
- 2024LTSim: Layout Transportation-based Similarity Measure for Evaluating Layout Generationcited by 10
- 2025AesthetiQ: Enhancing Graphic Layout Design via Aesthetic-Aware Preference Alignment of Multi-modal Large Language Modelscited by 8
- 2024DesignProbe: A Graphic Design Benchmark for Multimodal Large Language Modelscited by 7
- 2024Spot the Error: Non-autoregressive Graphic Layout Generation with Wireframe Locatorcited by 5
- 2025From Fragment to One Piece: A Survey on AI-Driven Graphic Designcited by 2
- 2024Neural Contrast: Leveraging Generative Editing for Graphic Design Recommendationscited by 0
- 2026Through the PRISM: Principle-Aware, Interpretable, and Multi-Scale Evaluation of Visual Designscited by 0
- 2026Through the PRISM: Principle-Aware, Interpretable, and Multi-Scale Evaluation of Visual Designs30 May 2026
- 2025From Fragment to One Piece: A Survey on AI-Driven Graphic Design24 Mar 2025
- 2025AesthetiQ: Enhancing Graphic Layout Design via Aesthetic-Aware Preference Alignment of Multi-modal Large Language Models1 Mar 2025
- 2024Neural Contrast: Leveraging Generative Editing for Graphic Design Recommendations26 Sep 2024
- 2024Alfie: Democratising RGBA Image Generation With No 27 Aug 2024
- 2024LTSim: Layout Transportation-based Similarity Measure for Evaluating Layout Generation17 Jul 2024
- 2024DesignProbe: A Graphic Design Benchmark for Multimodal Large Language Models23 Apr 2024
- 2024Desigen: A Pipeline for Controllable Design Template Generation14 Mar 2024
- 2024Spot the Error: Non-autoregressive Graphic Layout Generation with Wireframe Locator29 Jan 2024