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Attribute-conditioned Layout GAN for Automatic Graphic Design

arXiv 2009.05284 ↗First posted 11 Sep 2020cs.CV cs.GRcited by 67

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Abstract (arXiv)

Modeling layout is an important first step for graphic design. Recently, methods for generating graphic layouts have progressed, particularly with Generative Adversarial Networks (GANs). However, the problem of specifying the locations and sizes of design elements usually involves constraints with respect to element attributes, such as area, aspect ratio and reading-order. Automating attribute conditional graphic layouts remains a complex and unsolved problem. In this paper, we introduce Attribute-conditioned Layout GAN to incorporate the attributes of design elements for graphic layout generation by forcing both the generator and the discriminator to meet attribute conditions. Due to the complexity of graphic designs, we further propose an element dropout method to make the discriminator look at partial lists of elements and learn their local patterns. In addition, we introduce various loss designs following different design principles for layout optimization. We demonstrate that the proposed method can synthesize graphic layouts conditioned on different element attributes. It can also adjust well-designed layouts to new sizes while retaining elements' original reading-orders. The effectiveness of our method is validated through a user study.

Key facts. Cited by 67 papers in the map (data through 7 Oct 2026). First posted on arXiv 11 Sep 2020.

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Citing papers per year: 2021: 4; 2022: 5; 2023: 14; 2024: 21; 2025: 18; 2026: 5.

67 papers.

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  1. 2023LayoutDM: Discrete Diffusion Model for Controllable Layout Generationcited by 141
  2. 2021CanvasVAE: Learning to Generate Vector Graphic Documentscited by 93
  3. 2021Constrained Graphic Layout Generation via Latent Optimizationcited by 83
  4. 2024DocLayout-YOLO: Enhancing Document Layout Analysis through Diverse Synthetic Data and Global-to-Local Adaptive Perceptioncited by 80
  5. 2021BLT: Bidirectional Layout Transformer for Controllable Layout Generationcited by 69
  6. 2023PosterLayout: A New Benchmark and Approach for Content-aware Visual-Textual Presentation Layoutcited by 60
  7. 2022Composition-aware Graphic Layout GAN for Visual-textual Presentation Designscited by 59
  8. 2023LayoutDM: Transformer-based Diffusion Model for Layout Generationcited by 57
  9. 2023LayoutPrompter: Awaken the Design Ability of Large Language Modelscited by 47
  10. 2022LayoutFormer++: Conditional Graphic Layout Generation via Constraint Serialization and Decoding Space Restrictioncited by 43
  11. 2023Unifying Layout Generation with a Decoupled Diffusion Modelcited by 41
  12. 2023LayoutDiffusion: Improving Graphic Layout Generation by Discrete Diffusion Probabilistic Modelscited by 40
38 more
  1. 2024Graphic Design with Large Multimodal Modelcited by 38
  2. 2023Retrieval-Augmented Layout Transformer for Content-Aware Layout Generationcited by 34
  3. 2024PosterLlama: Bridging Design Ability of Langauge Model to Contents-Aware Layout Generationcited by 34
  4. 2022Geometry Aligned Variational Transformer for Image-conditioned Layout Generationcited by 33
  5. 2023Towards Flexible Multi-modal Document Modelscited by 30
  6. 2024Towards Aligned Layout Generation via Diffusion Model with Aesthetic Constraintscited by 26
  7. 2024UICoder: Finetuning Large Language Models to Generate User Interface Code through Automated Feedbackcited by 26
  8. 2023PLay: Parametrically Conditioned Layout Generation using Latent Diffusioncited by 24
  9. 2024LayoutFlow: Flow Matching for Layout Generationcited by 21
  10. 2022Aesthetic Text Logo Synthesis via Content-aware Layout Inferringcited by 19
  11. 2024Desigen: A Pipeline for Controllable Design Template Generationcited by 19
  12. 2021GUIGAN: Learning to Generate GUI Designs Using Generative Adversarial Networkscited by 17
  13. 2022LayoutDETR: Detection Transformer Is a Good Multimodal Layout Designercited by 15
  14. 2023A Parse-Then-Place Approach for Generating Graphic Layouts from Textual Descriptionscited by 15
  15. 2025PosterO: Structuring Layout Trees to Enable Language Models in Generalized Content-Aware Layout Generationcited by 15
  16. 2024SciPostLayout: A Dataset for Layout Analysis and Layout Generation of Scientific Posterscited by 14
  17. 2024Can GPTs Evaluate Graphic Design Based on Design Principles?cited by 14
  18. 2024VASCAR: Content-Aware Layout Generation via Visual-Aware Self-Correctioncited by 14
  19. 2023Unsupervised Domain Adaption with Pixel-level Discriminator for Image-aware Layout Generationcited by 13
  20. 2025Uni-Layout: Integrating Human Feedback in Unified Layout Generation and Evaluationcited by 13
  21. 2024From Elements to Design: A Layered Approach for Automatic Graphic Design Compositioncited by 11
  22. 2025PosterMate: Audience-driven Collaborative Persona Agents for Poster Designcited by 9
  23. 2025AesthetiQ: Enhancing Graphic Layout Design via Aesthetic-Aware Preference Alignment of Multi-modal Large Language Modelscited by 8
  24. 2024Layout-Corrector: Alleviating Layout Sticking Phenomenon in Discrete Diffusion Modelcited by 7
  25. 2024TextLap: Customizing Language Models for Text-to-Layout Planningcited by 7
  26. 2025PosterForest: Hierarchical Multi-Agent Collaboration for Scientific Poster Generationcited by 7
  27. 2025LayoutCoT: Unleashing the Deep Reasoning Potential of Large Language Models for Layout Generationcited by 6
  28. 2025SEGA: A Stepwise Evolution Paradigm for Content-Aware Layout Generation with Design Priorcited by 6
  29. 2023Text2Poster: Laying out Stylized Texts on Retrieved Imagescited by 5
  30. 2024Design-o-meter: Towards Evaluating and Refining Graphic Designscited by 5
  31. 2024Joint Generative Modeling of Grounded Scene Graphs and Images via Diffusion Modelscited by 4
  32. 2024WebRPG: Automatic Web Rendering Parameters Generation for Visual Presentationcited by 4
  33. 2025SciPostGen: Bridging the Gap between Scientific Papers and Poster Layoutscited by 4
  34. 2024CoLay: Controllable Layout Generation through Multi-conditional Latent Diffusioncited by 3
  35. 2026DesignAsCode: Bridging Structural Editability and Visual Fidelity in Graphic Design Generationcited by 3
  36. 2023Dynamically Masked Discriminator for Generative Adversarial Networkscited by 2
  37. 2024AI Can Enhance Creativity in Social Networkscited by 2
  38. 2025From Fragment to One Piece: A Survey on AI-Driven Graphic Designcited by 2

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