mlsanityData to 7 Oct 2026

Diffusion-based Document Layout Generation

arXiv 2303.10787 ↗First posted 19 Mar 2023cs.CVcited by 21

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Abstract (arXiv)

We develop a diffusion-based approach for various document layout sequence generation. Layout sequences specify the contents of a document design in an explicit format. Our novel diffusion-based approach works in the sequence domain rather than the image domain in order to permit more complex and realistic layouts. We also introduce a new metric, Document Earth Mover's Distance (Doc-EMD). By considering similarity between heterogeneous categories document designs, we handle the shortcomings of prior document metrics that only evaluate the same category of layouts. Our empirical analysis shows that our diffusion-based approach is comparable to or outperforming other previous methods for layout generation across various document datasets. Moreover, our metric is capable of differentiating documents better than previous metrics for specific cases.

Key facts. Cited by 21 papers in the map (data through 7 Oct 2026). Builds on 38 of its 48 references that are in the map. First posted on arXiv 19 Mar 2023.

Builds on

38 of 48 references.

References · 38

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26 more
  1. 2016Image-to-Image Translation with Conditional Adversarial Networkscited by 4,510
  2. 2021Improved Denoising Diffusion Probabilistic Modelscited by 3,736
  3. 2022DreamFusion: Text-to-3D using 2D Diffusioncited by 3,006
  4. 2015Unsupervised Representation Learning with Deep Convolutional Generative Adversarial Networkscited by 2,048
  5. 2020DiffWave: A Versatile Diffusion Model for Audio Synthesiscited by 1,339
  6. 2022Diffusion-LM Improves Controllable Text Generationcited by 1,006
  7. 2021Vector Quantized Diffusion Model for Text-to-Image Synthesiscited by 773
  8. 2021Diffusion Probabilistic Models for 3D Point Cloud Generationcited by 734
  9. 2023MusicLM: Generating Music From Textcited by 442
  10. 2016SeqGAN: Sequence Generative Adversarial Nets with Policy Gradientcited by 375
  11. 2019PubLayNet: largest dataset ever for document layout analysiscited by 349
  12. 2015Deep Generative Image Models using a Laplacian Pyramid of Adversarial Networkscited by 214
  13. 2016Precomputed Real-Time Texture Synthesis with Markovian Generative Adversarial Networkscited by 192
  14. 2023Dreamix: Video Diffusion Models are General Video Editorscited by 189
  15. 2020DocBank: A Benchmark Dataset for Document Layout Analysiscited by 152
  16. 2019LayoutGAN: Generating Graphic Layouts with Wireframe Discriminatorscited by 130
  17. 2020LayoutTransformer: Layout Generation and Completion with Self-attentioncited by 122
  18. 2019LayoutVAE: Stochastic Scene Layout Generation From a Label Setcited by 119
  19. 2017Long Text Generation via Adversarial Training with Leaked Informationcited by 100
  20. 2021Variational Transformer Networks for Layout Generationcited by 88
  21. 2021Constrained Graphic Layout Generation via Latent Optimizationcited by 83
  22. 2019READ: Recursive Autoencoders for Document Layout Generationcited by 51
  23. 2017Maximum-Likelihood Augmented Discrete Generative Adversarial Networkscited by 39
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Cited by year (2026 to 7 Oct)

Citing papers per year: 2023: 3; 2024: 11; 2025: 6; 2026: 1.

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  1. 2023TextDiffuser: Diffusion Models as Text Painterscited by 223
  2. 2023TextDiffuser-2: Unleashing the Power of Language Models for Text Renderingcited by 136
  3. 2024IMPRINT: Generative Object Compositing by Learning Identity-Preserving Representationcited by 64
  4. 2024Towards Aligned Layout Generation via Diffusion Model with Aesthetic Constraintscited by 26
  5. 2024CityCraft: A Real Crafter for 3D City Generationcited by 25
  6. 2024Tuning Timestep-Distilled Diffusion Model Using Pairwise Sample Optimizationcited by 25
  7. 2024LayoutFlow: Flow Matching for Layout Generationcited by 21
  8. 2024Alfie: Democratising RGBA Image Generation With No cited by 20
  9. 2024Kubrick: Multimodal Agent Collaborations for Synthetic Video Generationcited by 16
  10. 2025MMIG-Bench: Towards Comprehensive and Explainable Evaluation of Multi-Modal Image Generation Modelscited by 16
  11. 2023GlobalMapper: Arbitrary-Shaped Urban Layout Generationcited by 15
  12. 2024COHO: Context-Sensitive City-Scale Hierarchical Urban Layout Generationcited by 10
9 more
  1. 2024LTSim: Layout Transportation-based Similarity Measure for Evaluating Layout Generationcited by 10
  2. 2025AesthetiQ: Enhancing Graphic Layout Design via Aesthetic-Aware Preference Alignment of Multi-modal Large Language Modelscited by 8
  3. 2024Refine-by-Align: Reference-Guided Artifacts Refinement through Semantic Alignmentcited by 5
  4. 2024Latent Diffusion for Guided Document Table Generationcited by 2
  5. 2025Coeff-Tuning: A Graph Filter Subspace View for Tuning Attention-Based Large Modelscited by 2
  6. 2025Relation-Rich Visual Document Generator for Visual Information Extractioncited by 2
  7. 2025AI-Generated Lecture Slides for Improving Slide Element Detection and Retrievalcited by 0
  8. 2025Advancing Multimodal LLMs by Large-Scale 3D Visual Instruction Dataset Generationcited by 0
  9. 2026Evaluating Reasoning Fidelity in Visual Text Generationcited by 0