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Method
Title
Venue
First appearance date
Accepted Year
Method
Task
Paper URL
Preprint URL
Implementation URL
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AdaGridDocAdaptive grid-based document layoutTOG2003/07/012003not NNレイアウト生成https://doi.org/10.1145/882262.882353
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Label Layout StylesSpecifying label layout style by exampleUIST2007/10/072007not NNレイアウト生成https://doi.org/10.1145/1294211.1294252
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Survey-1Design principles for visual communicationCommunications of the ACM2011/04/012011Surveyレイアウト生成https://doi.org/10.1145/1924421.1924439
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Furniture Layout GuidelinesInteractive furniture layout using interior design guidelinesSIGGRAPH2011/07/252011not NNレイアウト生成https://doi.org/10.1145/1964921.1964982
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DesignLayoutLearning Layouts for Single-PageGraphic DesignsTVCG2014/03/212014not NNレイアウト生成https://doi.org/10.1109/TVCG.2014.48
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DesignScapeDesignScape: Design with Interactive Layout SuggestionsCHI2015/04/182015not NNレイアウト生成https://doi.org/10.1145/2702123.2702149
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FIDGANs Trained by a Two Time-Scale Update Rule Converge to a Local Nash EquilibriumNeurIPS2017/06/262017Metrics画像生成https://dl.acm.org/doi/10.5555/3295222.3295408https://arxiv.org/abs/1706.08500https://github.com/mseitzer/pytorch-fid
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RicoRico: A Mobile App Dataset for Building Data-Driven Design ApplicationsCHIyyyy/mm/dd2017Datasetレイアウト生成https://dl.acm.org/doi/10.1145/3126594.3126651http://www.interactionmining.org/rico.html
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LayoutGANLayoutGAN: Generating Graphic Layouts with Wireframe DiscriminatorsICLR2019/01/192019GANレイアウト生成https://openreview.net/forum?id=HJxB5sRcFQhttps://arxiv.org/abs/1901.06767
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ContentGANContent-aware generative modeling of graphic design layoutsSIGGRAPH2019/07/122019GANレイアウト生成https://doi.org/10.1145/3306346.3322971https://xtqiao.com/projects/content_aware_layout/
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LayoutVAELayoutVAE: Stochastic Scene Layout Generation From a Label SetICCV2019/07/242019VAEレイアウト生成https://doi.org/10.1109/ICCV.2019.00999https://arxiv.org/abs/1907.10719
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PubLayNetPubLayNet: largest dataset ever for document layout analysisICDAR2019/08/162019Datasetレイアウト生成https://doi.ieeecomputersociety.org/10.1109/ICDAR.2019.00166https://arxiv.org/abs/1908.07836https://github.com/ibm-aur-nlp/PubLayNet
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READREAD: Recursive Autoencoders for Document Layout GenerationCVPR-W2019/09/012020VAEレイアウト生成https://doi.org/10.1109/CVPRW50498.2020.00280https://arxiv.org/abs/1909.00302
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NDN Neural Design Network: Graphic Layout Generation with ConstraintsECCV2019/12/192020VAEレイアウト生成https://doi.org/10.1007/978-3-030-58580-8_29https://arxiv.org/abs/1912.09421
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Fidelity&DiversityReliable Fidelity and Diversity Metrics for Generative ModelsICML2020/02/232020Metrics画像生成https://dl.acm.org/doi/abs/10.5555/3524938.3525603https://arxiv.org/abs/2002.09797https://github.com/clovaai/generative-evaluation-prdc
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SmartTextSmarttext: Learning To Generate Harmonious Textual Layout Over Natural ImageTMM2020/06/092022System Frameworkポスター生成https://dl.acm.org/doi/10.1109/TMM.2021.3097900
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LayoutTransformer LayoutTransformer: Layout Generation and Completion with Self-attentionICCV2020/06/252021Auto-regressiveレイアウト生成https://doi.org/10.1109/ICCV48922.2021.00104https://arxiv.org/abs/2006.14615https://github.com/kampta/DeepLayout
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AC-LayoutGANAttribute-conditioned Layout GAN for Automatic Graphic DesignTVCG2020/09/112021GANレイアウト生成https://doi.org/10.1109/TVCG.2020.2999335https://arxiv.org/abs/2009.05284
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LayoutGCNLearning Structural Similarity of User Interface Layouts Using Graph NetworksECCV2020/11/172020GCNレイアウト生成https://doi.org/10.1007/978-3-030-58542-6_44https://github.com/dips4717/gcn-cnn
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VINSVINS: Visual Search for Mobile User Interface Design
CHI2021/02/102021Datasetレイアウト生成https://dl.acm.org/doi/10.1145/3411764.3445762https://arxiv.org/abs/2102.05216https://github.com/sbunian/VINS
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VTN Variational Transformer Networks for Layout GenerationCVPR2021/04/062021Auto-regressiveレイアウト生成https://doi.org/10.1109/CVPR46437.2021.01343https://arxiv.org/abs/2104.02416
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RUITERUITE: Refining UI Layout Aesthetics Using Transformer EncoderIUI2021/04/142021Auto-regressiveレイアウト生成https://dl.acm.org/doi/10.1145/3397482.3450716https://github.com/vinothpandian/RUITE
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VinciVinci: An Intelligent Graphic Design System for Generating Advertising PostersSIGGRAPH2021/05/072021System Frameworkポスター生成https://doi.org/10.1145/3411764.3445117https://vinci.idvxlab.com:7000/
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CLG-LOConstrained Graphic Layout Generation via Latent OptimizationACMMM2021/08/022021Auto-regressiveレイアウト生成https://doi.org/10.1145/3474085.3475497https://arxiv.org/abs/2108.00871
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CanvasVAECanvasVAE: Learning to Generate Vector Graphic DocumentsICCV2021/08/032021VAEポスター生成https://doi.org/10.1109/ICCV48922.2021.00543https://arxiv.org/abs/2108.01249https://github.com/CyberAgentAILab/canvas-vae
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De-renderingDe-rendering Stylized TextsICCV2021/10/052021System Frameworkポスター生成https://doi.org/10.1109/ICCV48922.2021.00111https://arxiv.org/abs/2110.01890
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LayoutMCLDiverse Multimedia Layout Generation with Multi Choice LearningACMMM2021/10/172021Auto-regressiveレイアウト生成https://doi.org/10.1145/3474085.3475525https://arxiv.org/abs/2301.06629
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BLTBLT: Bidirectional Layout Transformer for Controllable Layout GenerationECCV2021/12/092022Auto-regressiveレイアウト生成https://doi.org/10.1007/978-3-031-19790-1_29https://arxiv.org/abs/2112.05112
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CGL-GANComposition-aware Graphic Layout GAN for Visual-textual Presentation DesignsIJCAI2022/04/302022GANポスター生成https://doi.org/10.24963/ijcai.2022/692https://arxiv.org/abs/2205.00303https://github.com/ktrk115/const_layout
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Coarse-to-FineCoarse-to-Fine Generative Modeling for Graphic LayoutsAAAI2022/06/282022VAEレイアウト生成https://doi.org/10.1609/aaai.v36i1.19994
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LayoutFormer++LayoutFormer++: Conditional Graphic Layout Generation via Constraint Serialization and Decoding Space RestrictionCVPR2022/08/172023Auto-regressiveレイアウト生成https://doi.org/10.1109/CVPR52729.2023.01765https://arxiv.org/abs/2208.08037https://github.com/microsoft/LayoutGeneration/tree/main/LayoutFormer%2B%2B
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ICVT (Conference)Geometry Aligned Variational Transformer for Image-conditioned Layout GenerationACMMM2022/09/022022Auto-regressiveポスター生成https://doi.org/10.1145/3503161.3548332https://arxiv.org/abs/2209.00852
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CreaGANCreaGAN: An Automatic Creative Generation Framework for Display AdvertisingACMMM2022/10/102022GANポスター生成https://dl.acm.org/doi/10.1145/3503161.3548763
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LayoutDETRLayoutDETR: Detection Transformer Is a Good Multimodal Layout DesignerECCV2022/12/192024Auto-regressiveポスター生成https://arxiv.org/abs/2212.09877https://github.com/salesforce/LayoutDETR
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LayoutPGGANMachine Learning Model to Evaluate the Appropriateness of Layout for Automatic Generation of Graphic Design WorksIMCOM2023/01/032023GANポスター生成https://ieeexplore.ieee.org/document/10035646
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Text2PosterText2Poster: Laying out Stylized Texts on Retrieved ImagesICASSP2023/01/062022VAEポスター生成https://doi.org/10.1109/ICASSP43922.2022.9747465https://arxiv.org/abs/2301.02363https://github.com/chuhaojin/Text2Poster-ICASSP-22
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PLayPLay: Parametrically Conditioned Layout Generation using Latent DiffusionICML2023/01/272023Diffusion Modelレイアウト生成https://dl.acm.org/doi/10.5555/3618408.3618624https://arxiv.org/abs/2301.11529
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DLTDLT: Conditioned layout generation with Joint Discrete-Continuous Diffusion Layout TransformerICCV2023/03/072023Diffusion Modelレイアウト生成https://arxiv.org/abs/2303.03755
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LDGMUnifying Layout Generation with a Decoupled Diffusion ModelCVPR2023/03/092023Diffusion Modelレイアウト生成https://doi.org/10.1109/CVPR52729.2023.00193https://arxiv.org/abs/2303.05049
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LayoutDM-InoueLayoutDM: Discrete Diffusion Model for Controllable Layout GenerationCVPR2023/03/142023Diffusion Modelレイアウト生成https://arxiv.org/abs/2303.08137https://github.com/CyberAgentAILab/layout-dm
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LayoutDiffusion-ZhangLayoutDiffusion: Improving Graphic Layout Generation by Discrete Diffusion Probabilistic ModelsICCV2023/03/212023Diffusion Modelレイアウト生成https://arxiv.org/abs/2303.11589https://github.com/microsoft/LayoutGeneration/tree/main/LayoutDiffusion
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PosterLayoutPosterLayout: A New Benchmark and Approach for Content-aware Visual-Textual Presentation LayoutCVPR2023/03/282023GANポスター生成https://arxiv.org/abs/2303.15937https://github.com/PKU-ICST-MIPL/PosterLayout-CVPR2023
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LayoutDiffusion-ZhengLayoutDiffusion: Controllable Diffusion Model for Layout-to-image GenerationCVPR2023/03/302023Diffusion Modelレイアウト生成https://arxiv.org/abs/2303.17189https://github.com/ZGCTroy/LayoutDiffusion
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FlexDMTowards Flexible Multi-modal Document ModelsCVPR2023/03/312023BERTポスター生成https://arxiv.org/abs/2303.18248https://github.com/CyberAgentAILab/flex-dm
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LayoutVQ-VAELayout Generation for Various Scenarios in Mobile Shopping ApplicationsCHI2023/04/192023VAEレイアウト生成https://dl.acm.org/doi/10.1145/3544548.3581446
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LayoutDM-ChaiLayoutDM: Transformer-based Diffusion Model for Layout GenerationCVPR2023/05/042023Diffusion Modelレイアウト生成https://arxiv.org/abs/2305.02567
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TextDiffuserTextDiffuser: Diffusion Models as Text PaintersNeurIPS2023/05/182023Diffusion Modelポスター生成https://arxiv.org/abs/2305.10855https://github.com/microsoft/unilm/tree/master/textdiffuser
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LayoutGPTLayoutGPT: Compositional Visual Planning and Generation with Large Language ModelsNeurIPS2023/05/242023LLM/VLMレイアウト生成https://arxiv.org/abs/2305.15393https://github.com/weixi-feng/LayoutGPT
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PDA-GANUnsupervised Domain Adaption with Pixel-level Discriminator for Image-aware Layout GenerationCVPR2023/05/252023GANポスター生成https://arxiv.org/abs/2303.14377
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Layout ActionLayout Generation as Intermediate Action Sequence Prediction
AAAI2023/06/262023Auto-regressiveレイアウト生成https://doi.org/10.1609/aaai.v37i9.26277
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RADMRelation-Aware Diffusion Model for Controllable Poster Layout GenerationCIKM2023/06/152023Diffusion Modelポスター生成https://arxiv.org/abs/2306.09086https://github.com/liuan0803/RADM
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AutoPosterAutoPoster: A Highly Automatic and Content-aware Design System for Advertising Poster GenerationACMMM2023/08/022023System Frameworkポスター生成https://arxiv.org/abs/2308.01095
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TextPainterTextPainter: Multimodal Text Image Generation with Visual-harmony and Text-comprehension for Poster DesignACMMM2023/08/092023System Frameworkポスター生成https://arxiv.org/abs/2308.04733https://tianchi.aliyun.com/dataset/160034
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Learn and Sample TogetherLearn and Sample Together: Collaborative Generation for Graphic Design LayoutIJCAI2023/08/192023GCNレイアウト生成https://doi.org/10.24963/ijcai.2023/649
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Parse-Then-PlaceA Parse-Then-Place Approach for Generating Graphic Layouts from Textual DescriptionsICCV2023/08/242023Auto-regressiveレイアウト生成https://arxiv.org/abs/2308.12700https://github.com/microsoft/LayoutGeneration/tree/main/Parse-Then-Place
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Survey-2A Survey for Graphic Design IntelligencearXiv2023/09/04Surveyレイアウト生成https://doi.org/10.48550/arXiv.2309.01371
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LayoutNUWALayoutNUWA: Revealing the Hidden Layout Expertise of Large Language ModelsICLR2023/09/182024LLM/VLMレイアウト生成https://arxiv.org/abs/2309.09506https://github.com/ProjectNUWA/LayoutNUWA
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Survey-3Understanding Design Collaboration Between Designers and Artificial Intelligence: A Systematic Literature ReviewCSCW2023/10/042023Surveyレイアウト生成https://doi.org/10.1145/3610217
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UIGrammarUI Layout Generation with LLMs Guided by UI GrammarICML-W2023/10/242023LLM/VLMレイアウト生成https://arxiv.org/abs/2310.15455
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DolfinDolfin: Diffusion Layout Transformers without AutoencoderECCV2023/10/252024Diffusion Modelレイアウト生成https://arxiv.org/abs/2310.16305
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Two-stage LayoutDMTwo-stage Content-Aware Layout Generation for Poster DesignsACMMM2023/10/272023Diffusion Modelポスター生成https://dl.acm.org/doi/abs/10.1145/3581783.3612275
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LayoutPrompterLayoutPrompter: Awaken the Design Ability of Large Language ModelsNeurIPS2023/11/112023LLM/VLMレイアウト生成https://arxiv.org/abs/2311.06495https://github.com/microsoft/LayoutGeneration/tree/main/LayoutPrompter
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RALFRetrieval-Augmented Layout Transformer for Content-Aware Layout GenerationCVPR2023/11/222024Auto-regressiveポスター生成https://arxiv.org/abs/2311.13602https://github.com/CyberAgentAILab/RALF
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COLECOLE: A Hierarchical Generation Framework for Multi-Layered and Editable Graphic DesignarXiv2023/11/28LLM/VLMポスター生成https://arxiv.org/abs/2311.16974https://github.com/graphic-design-generation/graphic-design-generation.github.io
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TextDiffuser-2TextDiffuser-2: Unleashing the Power of Language Models for Text RenderingarXiv2023/11/282023Diffusion Modelポスター生成https://arxiv.org/abs/2311.16465https://github.com/microsoft/unilm/tree/master/textdiffuser-2
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Survey-4Intelligent layout generation based on deep generative models: A comprehensive surveyInformation Fusion2023/12/012023Surveyポスター生成https://doi.org/10.1016/j.inffus.2023.101940
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Planning&RenderingPlanning and Rendering: Towards End-to-End Product Poster GenerationarXiv2023/12/142023System Frameworkポスター生成https://arxiv.org/abs/2312.08822
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CG4CTRA New Creative Generation Pipeline for Click-Through Rate with Stable Diffusion ModelWWW2024/01/172024System Frameworkポスター生成https://dl.acm.org/doi/10.1145/3589335.3648315https://arxiv.org/abs/2401.10934https://github.com/HaoYang0123/Creative_Generation_Pipeline
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Spot the ErrorSpot the Error: Non-autoregressive Graphic Layout Generation with Wireframe LocatorAAAI2024/01/192024BERTレイアウト生成https://arxiv.org/abs/2401.16375https://github.com/ffffatgoose/SpotError
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LACETowards Aligned Layout Generation via Diffusion Model with Aesthetic ConstraintsICLR2024/02/072024Auto-regressiveレイアウト生成https://arxiv.org/abs/2402.04754https://github.com/puar-playground/LACE
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DesigenDesigen: A Pipeline for Controllable Design Template GenerationCVPR2024/03/142024Auto-regressiveポスター生成https://arxiv.org/abs/2403.09093https://github.com/whaohan/desigen
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LayoutFlowLayoutFlow: Flow Matching for Layout GenerationECCV2024/03/272024Flowレイアウト生成https://arxiv.org/abs/2403.18187
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PosterLlamaPosterLlama: Bridging Design Ability of Langauge Model to Contents-Aware Layout GenerationECCV2024/04/012024LLM/VLMポスター生成https://arxiv.org/abs/2404.00995
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GraphistGraphic Design with Large Multimodal ModelarXiv2024/04/22LLM/VLMポスター生成https://arxiv.org/abs/2404.14368https://github.com/graphic-design-ai/graphist
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DocLapAutomatic Layout Planning for Visually-Rich Documents with Instruction-Following ModelsarXiv2024/04/23LLM/VLMポスター生成https://arxiv.org/abs/2404.15271
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DesignProbeDesignProbe: A Graphic Design Benchmark for Multimodal Large Language ModelsarXiv2024/04/23Metricsポスター生成https://arxiv.org/abs/2404.14801
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CoLayCoLay: Controllable Layout Generation through Multi-conditional Latent DiffusionarXiv2024/05/18Diffusion Modelレイアウト生成https://arxiv.org/abs/2405.13045
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RARE+Revision Matters: Generative Design Guided by Revision EditsarXiv2024/05/27System Frameworkレイアウト生成https://arxiv.org/abs/2406.18559
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PostDocPostDoc: Generating Poster from a Long Multimodal Document Using Deep Submodular OptimizationarXiv2024/05/30System Frameworkポスター生成https://arxiv.org/abs/2405.20213
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PosterLLaVaPosterLLaVa: Constructing a Unified Multi-modal Layout Generator with LLMarXiv2024/06/05LLM/VLMポスター生成https://arxiv.org/abs/2406.02884https://github.com/posterllava/PosterLLaVA
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OpenCOLEOpenCOLE: Towards Reproducible Automatic Graphic Design GenerationarXiv2024/06/12LLM/VLMポスター生成https://arxiv.org/abs/2406.08232https://github.com/CyberAgentAILab/OpenCOLE
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VLCVisual Layout Composer: Image-Vector Dual Diffusion Model for Design Layout GenerationCVPR2024/06/192024Diffusion Modelポスター生成https://openaccess.thecvf.com/content/CVPR2024/html/Shabani_Visual_Layout_Composer_Image-Vector_Dual_Diffusion_Model_for_Design_Layout_CVPR_2024_paper.htmlhttps://aminshabani.github.io/visual_layout_composer/pdfs/visual_layout_composer.pdf
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LTSimLTSim: Layout Transportation-based Similarity Measure for Evaluating Layout GenerationarXiv2024/07/17Metricsレイアウト生成https://arxiv.org/abs/2407.12356
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Multi-constraint LayoutVQ-VAEIris: a multi-constraint graphic layout generation systemFITEE2024/07/242024VAEポスター生成https://doi.org/10.1631/FITEE.2300312
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ICVT (Journal)Self-refined variational transformer for image-conditioned layout generationIJMLC2024/09/162024Auto-regressiveレイアウト生成https://doi.org/10.1007/s13042-024-02355-5
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Neural ContrstNeural Contrast: Leveraging Generative Editing for Graphic Design RecommendationsPRICAI2024/09/262024System Frameworkポスター生成https://arxiv.org/abs/2410.07211
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graphic-design-evaluationCan GPTs Evaluate Graphic Design Based on Design Principles?SIGGRAPH Asia2024/10/112024Datasetポスター生成https://arxiv.org/abs/2410.08885https://github.com/CyberAgentAILab/Graphic-design-evaluation
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LGGPTSmaller But Better: Unifying Layout Generation with Smaller Large Language ModelsIJCV2025/02/122025LLM/VLMレイアウト生成https://doi.org/10.1007/s11263-025-02353-2https://github.com/NiceRingNode/LGGPT