README
Awesome Layout Generation
A curated bibliography of graphic layout generation, content-aware poster design, document layouts and editable graphic design.
Last updated: 2026-09-22. New entries are checked against arXiv records and official proceedings or author project pages. Unconfirmed publication venues remain labeled as arXiv; affiliations and additional resource links are included when verified. This is a curated collection, not an exhaustive index.
Content-Agnostic and Content-Aware describe task conditioning; LLM-based describes a model family and may co-occur with either. Additional tags identify full-design generation, editing, surveys and evaluation.
Dataset
Content-agnostic Layout Generation
- Rico Dataset (ACM UIST 2017) [Paper] [Download]
- PubLayNet Dataset (ICDAR 2019) [Paper] [Download1] [Download2]
- Magazine Dataset (SIGRAPH 2019) [Paper] [Github] [Download1] [Download2]
- Crello Dataset (ICCV 2021) [Paper] [Github] [Download]
- DocLayNet Dataset (KDD 2022) [Paper] [Download] [Huggingface]
- WebUI Dataset (CHI 2023) [Paper] [Download]
- M6Doc Dataset (CVPR 2023) [Paper] [Download]
- SciPostLayout (BMVC 2024) [Paper] [Download]
Content-aware Layout Generation
- CGL Dataset v1 (IJCAI 2022) [Paper] [Github] [Download]
- CGL Dataset v2 (CIKM 2023) [Paper] [Github] [Download]
- PKU PosterLayout Dataset (CVPR 2023) [Paper] [Github] [Download1(official)] [Download2(unofficial)]
Recent Layout and Graphic Design Datasets
- OmniDocLayout-1M (CVPR 2026) [Paper] [Github] [Download]
- Sketch-to-Layout datasets (ICCV 2025 Workshops) [Paper] [Github / Data]
- GenPoster-100K (SEGA, ICCV 2025) [Paper] [Project] [Dataset]
- Layout-HF100k (Uni-Layout, ACMMM 2025) [Paper] [Github / Data]
- LICA: Layered Image Composition Annotations (2026) [Paper] [Github] [Download]
Design Evaluation and Scientific Poster Benchmarks
- DesignSense (2026) [Paper]
- TASTE (2026) [Paper]
- Graphic-Design-Bench (2026) [Paper] [Github]
- PosterIQ (CVPR 2026) [Paper] [Github]
- E-comIQ-ZH (CVPR 2026) [Paper] [Github]
- Paper2Poster benchmark (NeurIPS 2025) [Paper] [Project] [Github / Data]
- P2P benchmark (ICLR 2026) [Paper] [Github]
2026
Designer-RSI: Evolving Procedural Memory from User Traffic for Agentic Graphic Design
Hongyang Du, Lan Yan, Christian Flores, Asim Kadav.
arXiv 2026, Adobe & Brown University
Graphic Design Generation LLM-based [Paper]
Human-aware Design Generation: Adding 3D Humans into Graphic Designs
Zijin Hou, Ying Cao.
ACMMM 2026, ShanghaiTech University, Shanghai, China
Graphic Design Generation [Paper]
[Github]
From Transient Prompts to Persistent Control: Scientific Poster Generation via Recursive Semantic-Geometric Contracts
Runze Li, Yukun Zhao, Can Xu, Yucheng Shen, Shuaiqiang Wang, Jianmin Wu, Lingyong Yan, Dawei Yin.
arXiv 2026
Scientific Poster / Slide Generation LLM-based [Paper]
Learning Interaction between Image and Layout Priors for Joint Image-Layout Generation in Design Templates
Shirong Yang, Bo Yang, Ying Cao.
arXiv 2026, ShanghaiTech University
Content-Aware [Paper]
GDB-Reward: From Evaluation Metrics to Training Rewards for Graphic Design
Adrienne Deganutti, Purvanshi Mehta, Simon Hadfield, Andrew Gilbert.
arXiv 2026
Dataset / Evaluation [Paper]
Giraffe: A Mapping Architecture from Hidden Text Representations to Visual Embeddings for Efficient Graphic Design
Nejla Ghaboosi.
arXiv 2026, Canva Research
Graphic Design Generation LLM-based [Paper]
TextRefine: Improving Textual Fidelity, Spatial Placement, and Glyph Rendering for Text Editing in Product Posters
Honglie Wang, Jia Sun, Zijun Li, Junlong Wu, Pengcheng Wei, Jiyuan Wang, Yongrui Heng, Boheng Zhang, Huaiqing Wang, Dewen Fan, Qianqian Gan, Fan Yang, Tingting Gao, Yan-Ming Zhang.
arXiv 2026
Graphic Design Editing [Paper]
Mise-en-Scène: Implicit Layout Emergence in Diffusion Transformers for Human-AI Design Co-Creation
Zipeng Xu, Ryan Murdock, Umberto Michieli.
ECCV 2026 Workshops, Canva Research
Graphic Design Generation [Paper]
PosterText: Towards Unified Visual Text Generation and Editing for E-commerce Poster
Xiaoan Liu, Lichen Ma, Zipeng Guo, Yu He, Xiaoyan Su, Shaojie Guo, Jingling Fu, Xiaolong Fu, Hao Yang, Tongxuan Liu, Yu Guo, Fei Wang, Xinyi Liu, Yongjun Zhang, Junshi Huang.
arXiv 2026
Graphic Design Generation [Paper]
PosterMELD: Multi-Agent Paper-to-Poster Generation for Controllable Design Diversity with Editable Print-Ready Outputs
Haojie Hu, Chenhao Dang, Yaojia Liu, Hengrui Kang, Conghui He, Weijia Li.
arXiv 2026
Scientific Poster / Slide Generation LLM-based [Paper]
[Github]
SG-Layout: Structured Scene Graph-Guided Layout Generation with LLMs
Junsheng Wang, Chao Chen, Mengying Xie, Mingyan Li, Fuqiang Gu.
WAICA 2026, Chongqing University, Chongqing, China
Content-Agnostic LLM-based [Paper]
StructuredEdit: Constraint-Aware Graphic Design Editing via Differentiable Parameter Propagation
Veeramanohar Avudaiappan, Ritwik Murali.
arXiv 2026, Department of Electrical and Electronics Engineering, Amrita School of Engineering, Coimbatore, Amrita Vishwa Vidyapeetham, India & Department of Computer Science and Engineering, Amrita School of Computing, Coimbatore, Amrita Vishwa Vidyapeetham, India
Graphic Design Editing [Paper]
ResearchStudio-Reel: Automate the Last Mile of Research from Paper to Poster, Video, and Blog
Lingao Xiao, Yalun Dai, Yangyu Huang, Qihao Zhao, Wenshan Wu, Hugo He, Ruishuo Chen, Jin Jiang, Qianli Ma, Jiahuan Zhang, Xin Zhang, Ying Xin, Yang Ou, Yan Xia, Scarlett Li, Longbo Huang, Zhipeng Zhang, Yang He, Yap Kim Hui, Yan Lu.
arXiv 2026, Microsoft Research & National University of Singapore & Nanyang Technological University & Tsinghua University & Peking University & Shanghai Jiao Tong University & Westlake University & A*STAR
Scientific Poster / Slide Generation LLM-based [Paper]
[Github]
PosterHarness: Turning Scientific Poster Generation into an Auditable Instruction-Following Benchmark
Tianyi Yang, Dawei Fu, Youpeng Wu, Zixun Kou, Linrui Chen, Ruobing Jiang, Zijian Wang, Qiang Li.
arXiv 2026, School of Physics, Peking University
Dataset / Evaluation [Paper]
Aggregating LLM-Based Weak Verifiers for Spatial Layout Generation
Sharon Zhang, R. Kenny Jones, Jiajun Wu, Maneesh Agrawala.
arXiv 2026, Stanford University, Stanford, California, USA & Roblox, San Mateo, California, USA
Dataset / Evaluation [Paper]
Any2Poster: Any-Source Poster Generation Across Modalities and Domains
Amogh Vinaykumar, Aiden Li, Suozhi Huang, Shilong Liu.
arXiv 2026, Flower Mound High School & University College London & Princeton University
Scientific Poster / Slide Generation LLM-based [Paper]
[Github]
[Project]
TASTE: A Designer-Annotated Multi-Dimensional Preference Dataset for AI-Generated Graphic Design
Haonan Zhu, Elad Hirsch, Alexandria Minetti, Allison Nulty, Ben Huffman, Purvanshi Mehta.
arXiv 2026, Lica World, San Francisco, USA & Contra.Work Inc., Brooklyn, NY, USA
Dataset / Evaluation [Paper]
SIMPLEPOSTER: A SIMPLE BASELINE FOR PRODUCT POSTER GENERATION
Benlei Cui, Fangao Zeng, Weitao Jiang, Yuwen Zhai, Haiwen Hong, Longtao Huang, Hui Xue, Wenxiang Shang, Pipei Huang.
CVPR 2026, Taobao & Tmall Group, Alibaba Group & Yuvion Team, Alibaba Group
Graphic Design Generation [Paper]
[Proceedings]
[Github]
[Github]
CreatiParser: Generative Image Parsing of Raster Graphic Designs into Editable Layers
Weidong Chen, Dexiang Hong, Zhendong Mao, Yutao Cheng, Xinyan Liu, Lei Zhang, Yongdong Zhang.
arXiv 2026
Graphic Design Editing [Paper]
AeSlides: Incentivizing Aesthetic Layout in LLM-Based Slide Generation via Verifiable Rewards
Yiming Pan, Chengwei Hu, Xuancheng Huang, Can Huang, Mingming Zhao, Yuean Bi, Xiaohan Zhang, Aohan Zeng, Linmei Hu.
arXiv 2026, Beijing Institute of Technology & Zhipu AI (Z.ai)
Scientific Poster / Slide Generation LLM-based [Paper]
[Github]
Brief2Design: A Multi-phased, Compositional Approach to Prompt-based Graphic Design
Kotaro Kikuchi, Nami Ogawa.
arXiv 2026, CyberAgent, Tokyo, Japan
Graphic Design Generation LLM-based [Paper]
ReContraster: Making Your Posters Stand Out with Regional Contrast
Peixuan Zhang, Zijian Jia, Ziqi Cai, Shuchen Weng, Si Li, Boxin Shi.
arXiv 2026, State Key Laboratory for Multimedia Information Processing, School of Computer Science, Peking University & National Engineering Research Center of Visual Technology, School of Computer Science, Peking University & Beijing Academy of Artificial Intelligence & School of Artificial Intelligence, Beijing University of Posts and Telecommunications
Graphic Design Editing [Paper]
GAN-based Domain Adaptation for Image-aware Layout Generation in Advertising Poster Design
Chenchen Xu, Min Zhou, Tiezheng Ge, Weiwei Xu.
arXiv 2026, Anhui Normal University & Zhejiang University & Shenzhen Bay Laboratory & Alibaba Group
Content-Aware [Paper]
Graphic-Design-Bench: A Comprehensive Benchmark for Evaluating AI on Graphic Design Tasks
Adrienne Deganutti, Elad Hirsch, Haonan Zhu, Jaejung Seol, Purvanshi Mehta.
arXiv 2026, Lica World
Dataset / Evaluation [Paper]
[Github]
iPoster: Content-Aware Layout Generation for Interactive Poster Design via Graph-Enhanced Diffusion Models
Xudong Zhou, Jinyuan Liang, Qiuyi Guo, Guozheng Li.
CHI EA 2026, Beijing Institute of Technology, Beijing, China
Content-Aware [Paper]
PosterIQ: A Design Perspective Benchmark for Poster Understanding and Generation
Yuheng Feng, Wen Zhang, Haodong Duan, Xingxing Zou.
CVPR 2026, The Hong Kong Polytechnic University & Snapchat Inc & ByteDance Seed
Dataset / Evaluation [Paper]
[Proceedings]
[Github]
Seeing is Improving: Visual Feedback for Iterative Text Layout Refinement
Junrong Guo, Shancheng Fang, Yadong Qu, Hongtao Xie.
CVPR 2026, University of Science and Technology of China & Shenzhen University
Graphic Design Editing [Paper]
[Proceedings]
[Github]
LICA: Layered Image Composition Annotations for Graphic Design Research
Elad Hirsch, Shubham Yadav, Mohit Garg, Purvanshi Mehta.
arXiv 2026, Lica World
Dataset / Evaluation [Paper]
[Github]
[Dataset]
InnoAds-Composer: Efficient Condition Composition for E-Commerce Poster Generation
Yuxin Qin, Ke Cao, Haowei Liu, Ao Ma, Fengheng Li, Honghe Zhu, Zheng Zhang, Run Ling, Wei Feng, Xuanhua He, Zhanjie Zhang, Zhen Guo, Haoyi Bian, Jingjing Lv, Junjie Shen, Ching Law.
CVPR 2026, JD.com, Inc., Beijing, China & The Hong Kong University of Science and Technology, Hong Kong, China & Chongqing University of Posts and Telecommunications, Chongqing, China & Zhejiang University, Hangzhou, China
Graphic Design Generation [Paper]
[Proceedings]
DesignSense: A Human Preference Dataset and Reward Modeling Framework for Graphic Layout Generation
Varun Gopal, Rishabh Jain, Aradhya Mathur, Nikitha SR, Sohan Patnaik, Sudhir Yarram, Mayur Hemani, Balaji Krishnamurthy, Mausoom Sarkar.
arXiv 2026, MDSR, Adobe
Dataset / Evaluation [Paper]
EfficientPosterGen: Semantic-aware Efficient Poster Generation via Token Compression and Accurate Violation Detection
Wenxin Tang, Jingyu Xiao, Yanpei Gong, Fengyuan Ran, Tongchuan Xia, Junliang Liu, Man Ho Lam, Wenxuan Wang, Michael R. Lyu.
arXiv 2026, Tsinghua University, Beijing, China & The Chinese University of Hong Kong, Hong Kong, China & Harbin Institute of Technology, Harbin, China & Wuhan University, Wuhan, China & Beijing University of Posts and Telecommunications, Beijing, China & Dalian Maritime University, Dalian, China & Renmin University of China, Beijing, China
Graphic Design Generation [Paper]
[Github]
E-comIQ-ZH: A Human-Aligned Dataset and Benchmark for Fine-Grained Evaluation of E-commerce Posters with Chain-of-Thought
Meiqi Sun, Mingyu Li, Junxiong Zhu.
CVPR 2026, Taobao & Tmall Group, Alibaba Group
Dataset / Evaluation [Paper]
[Proceedings]
[Github]
PosterReward: Unlocking Accurate Evaluation for High-Quality Graphic Design Generation
Jianyu Lai, Sixiang Chen, Jialin Gao, Hengyu Shi, Zhongying Liu, Fuxiang Zhai, Junfeng Luo, Xiaoming Wei, Lujia Wang, Lei Zhu.
CVPR 2026, The Hong Kong University of Science and Technology (Guangzhou), & Meituan & The Hong Kong University of Science and Technology
Dataset / Evaluation [Paper]
[Proceedings]
[Project]
From Pixels to Policies: Reinforcing Spatial Reasoning in Language Models for Content-Aware Layout Design
Sha Li, Stefano Petrangeli, Yu Shen, Xiang Chen.
ACL 2026 Industry Track, Virginia Tech & Adobe Research
Content-Aware LLM-based [Paper]
[Proceedings]
PosterOmni: Generalized Artistic Poster Creation via Task Distillation and Unified Reward Feedback
Sixiang Chen, Jianyu Lai, Jialin Gao, Hengyu Shi, Zhongying Liu, Tian Ye, Junfeng Luo, Xiaoming Wei, Lei Zhu.
CVPR 2026, The Hong Kong University of Science and Technology (Guangzhou), & Meituan, & The Hong Kong University of Science and Technology
Graphic Design Generation [Paper]
[Proceedings]
[Project]
DesignAsCode: Bridging Structural Editability and Visual Fidelity in Graphic Design Generation
Ziyuan Liu, Shizhao Sun, Danqing Huang, Yingdong Shi, Meisheng Zhang, Ji Li, Jingsong Yu, Jiang Bian.
arXiv 2026, School of Software and Microelectronics, Peking University, Beijing, China & Microsoft, Beijing, China & Microsoft, Mountain View, USA & ShanghaiTech University, Shanghai, China & Peking University, Beijing, China
Graphic Design Generation LLM-based [Paper]
[Project]
APEX: Academic Poster Editing Agentic Expert
Chengxin Shi, Qinnan Cai, Zeyuan Chen, Long Zeng, Yibo Zhao, Jing Yu, Jianxiang Yu, Xiang Li.
arXiv 2026, School of Data Science and Engineering, East China Normal University
Scientific Poster / Slide Generation LLM-based [Paper]
[Github]
PosterVerse: A Full-Workflow Framework for Commercial-Grade Poster Generation with HTML-Based Scalable Typography
Junle Liu, Peirong Zhang, Yuyi Zhang, Pengyu Yan, Hui Zhou, Xinyue Zhou, Fengjun Guo, Lianwen Jin.
AAAI 2026
Graphic Design Generation LLM-based [Paper]
[Github]
PSDesigner: Automated Graphic Design with a Human-Like Creative Workflow
Xincheng Shuai, Song Tang, Yutong Huang, Henghui Ding, Dacheng Tao.
CVPR 2026
Graphic Design Generation LLM-based [Paper]
[Proceedings]
Can Vision–Language Models Assess Graphic Design Aesthetics? A Benchmark, Evaluation, and Dataset Perspective.
Ruichuan An, Shizhao Sun, Danqing Huang, Mingxi Cheng, Yan Gao, Ji Li, YU QIAO, Jiang Bian.
ICLR 2026
Dataset / Evaluation [Paper]
[Proceedings]
AutoPP: Towards Automated Product Poster Generation and Optimization
Jiahao Fan, Yuxin Qin, Wei Feng, Yanyin Chen, Yaoyu Li, Ao Ma, Yixiu Li, Li Zhuang, Haoyi Bian, Zheng Zhang, Jingjing Lv, Junjie Shen, Ching Law.
AAAI 2026
Graphic Design Generation LLM-based [Paper]
[Github]
Qwen-Image-Layered: Towards Inherent Editability via Layer Decomposition
Shengming Yin, Zekai Zhang, Zecheng Tang, Kaiyuan Gao, Xiao Xu, Kun Yan, Jiahao Li, Yilei Chen, Yuxiang Chen, Heung-Yeung Shum, Lionel M. Ni, Junyang Lin, Chenfei Wu.
CVPR 2026, HKUST(GZ) Alibaba HKUST
Graphic Design Editing [Paper]
[Proceedings]
[Github]
UniLayDiff: A Unified Diffusion Transformer for Content-Aware Layout Generation
Zeyang Liu, Le Wang, Sanping Zhou, Yuxuan Wu, Xiaolong Sun, Gang Hua, Haoxiang Li.
CVPR 2026 Findings, College of Artificial Intelligence, Xi’an Jiaotong University Amazon.com, Inc. Pixocial Technology
Content-Aware [Paper]
SciPostGen: Bridging the Gap between Scientific Papers and Poster Layouts
Shun Inadumi, Shohei Tanaka, Tosho Hirasawa, Atsushi Hashimoto, Koichiro Yoshino, Yoshitaka Ushiku.
CVPR 2026 Findings, OMRON SINIC X Corp & NAIST & The University of Osaka
Scientific Poster / Slide Generation LLM-based [Paper]
[Project]
SkyReels-Text: Fine-Grained Font-Controllable Text Editing for Poster Design
Yunjie Yu, Jingchen Wu, Junchen Zhu, Chunze Lin, Guibin Chen.
CVPR 2026, Skywork AI
Graphic Design Editing [Paper]
[Proceedings]
[Github]
OmniDocLayout: Towards Diverse Document Layout Generation via Coarse-to-Fine LLM Learning
Hengrui Kang, Zhuangcheng Gu, Zhiyuan Zhao, Zichen Wen, Bin Wang, Weijia Li, Conghui He.
CVPR 2026, Shanghai Jiao Tong University & Shanghai AI Laboratory & Sun Yat-sen University
Content-Agnostic LLM-based [Paper]
[Proceedings]
[Github]
[Dataset]
PosterForest: Hierarchical Multi-Agent Collaboration for Scientific Poster Generation
Jiho Choi, Seojeong Park, Seongjong Song, Hyunjung Shim.
ACL 2026
Scientific Poster / Slide Generation LLM-based [Paper]
PosterGen: Aesthetic-Aware Multi-Modal Paper-to-Poster Generation via Multi-Agent LLMs
Zhilin Zhang, Xiang Zhang, Jiaqi Wei, Yiwei Xu, Chenyu You.
CVPR 2026 Findings, Stony Brook University & New York University & University of British Columbia & Zhejiang University & University of California, Los Angeles
Scientific Poster / Slide Generation LLM-based [Paper]
[Project]
[Github]
PosterCraft: Rethinking High-Quality Aesthetic Poster Generation in a Unified Framework
Sixiang Chen, Jianyu Lai, Jialin Gao, Tian Ye, Haoyu Chen, Hengyu Shi, Shitong Shao, Yunlong Lin, Song Fei, Zhaohu Xing, Yeying Jin, Junfeng Luo, Xiaoming Wei, Lei Zhu.
ICLR 2026, HKUST (Guangzhou) & Meituan & Xiamen University & National University of Singapore & HKUST
Graphic Design Generation [Paper]
[Proceedings]
[Project]
CreatiDesign: A Unified Multi-Conditional Diffusion Transformer for Creative Graphic Design
Hui Zhang, Dexiang Hong, Maoke Yang, Yutao Cheng, Zhao Zhang, Weidong Chen, Jie Shao, Xinglong Wu, Zuxuan Wu, Yu-Gang Jiang.
ICLR 2026, Institute of Trustworthy Embodied AI, Fudan University & Shanghai Key Laboratory of Multimodal Embodied AI & Bytedance Intelligent Creation & School of Information Science and Technology, University of Science and Technology of China
Graphic Design Generation [Paper]
[Proceedings]
P2P: Automated Paper-to-Poster Generation and Fine-Grained Benchmark
Tao Sun, Enhao Pan, Zhengkai Yang, Kaixin Sui, Jiajun Shi, Xianfu Cheng, Tongliang Li, Ge Zhang, Wenhao Huang, Jian Yang, Zhoujun Li.
ICLR 2026, ByteDance, China & College of Computer Science, Beijing Information Science and Technology University & Shenzhen Intelligent Strong Technology Co.,Ltd
Scientific Poster / Slide Generation LLM-based [Paper]
[Proceedings]
[Github]
2025
UTDesign: A Unified Framework for Stylized Text Editing and Generation in Graphic Design Images
Yiming Zhao, Yuanpeng Gao, Yuxuan Luo, Jiwei Duan, Shisong Lin, Longfei Xiong, Zhouhui Lian.
SIGGRAPH Asia 2025, Wangxuan Institute of Computer Technology, Peking University, Beijing, China & Kingsoft Office, Zhuhai, China & State Key Laboratory of General Artificial Intelligence, Peking University, Beijing, China
Graphic Design Generation [Paper]
[Github]
Content-Aware Ad Banner Layout Generation with Two-Stage Chain-of-Thought in Vision Language Models
Kei Yoshitake, Kento Hosono, Ken Kobayashi, Kazuhide Nakata.
arXiv 2025, Institute of Science Tokyo & HAKUHODO Technologies Inc
Content-Aware LLM-based [Paper]
PosterCopilot: Toward Layout Reasoning and Controllable Editing for Professional Graphic Design
Jiazhe Wei, Ken Li, Tianyu Lao, Haofan Wang, Liang Wang, Caifeng Shan, Chenyang Si.
arXiv 2025, LibLib.ai & PRLab, Nanjing University & Institute of Automation, Chinese Academy of Sciences[2mm]
Content-Aware LLM-based [Paper]
[Project]
Sketch-to-Layout: Sketch-Guided Multimodal Layout Generation
Riccardo Brioschi, Aleksandr Alekseev, Emanuele Nevali, Berkay Döner, Omar El Malki, Blagoj Mitrevski, Leandro Kieliger, Mark Collier, Andrii Maksai, Jesse Berent, Claudiu Musat, Efi Kokiopoulou.
ICCV 2025 Workshops (HiGen)
Content-Agnostic [Paper]
[Github]
StructLayoutFormer:Conditional Structured Layout Generation via Structure Serialization and Disentanglement
Xin Hu, Pengfei Xu, Jin Zhou, Hongbo Fu, Hui Huang.
arXiv 2025
Content-Agnostic [Paper]
[Github]
SEGA: A Stepwise Evolution Paradigm for Content-Aware Layout Generation with Design Prior
Haoran Wang, Bo Zhao, Jinghui Wang, Hanzhang Wang, Huan Yang, Wei Ji, Hao Liu, Xinyan Xiao.
ICCV 2025, Baidu Inc & Nanjing University & Harbin Institute of Technology & Kuaishou Technology
Content-Aware LLM-based [Paper]
[Proceedings]
[Project]
[Github]
[Dataset]
LayerD: Decomposing Raster Graphic Designs into Layers
Tomoyuki Suzuki, Kang-Jun Liu, Naoto Inoue, Kota Yamaguchi.
ICCV 2025, CyberAgent & Tohoku University
Graphic Design Editing [Paper]
[Proceedings]
[Project]
[Github]
LLMs as Layout Designers: Enhanced Spatial Reasoning for Content-Aware Layout Generation
Sha Li, Stefano Petrangeli, Yu Shen, Xiang Chen, Naren Ramakrishnan.
arXiv 2025
Content-Aware LLM-based [Paper]
SheetDesigner: MLLM-Powered Spreadsheet Layout Generation with Rule-Based and Vision-Based Reflection
Qin Chen, Yuanyi Ren, Xiaojun Ma, Mugeng Liu, Han Shi, Dongmei Zhang.
EMNLP 2025, Peking University & Microsoft
Document / UI Layout LLM-based [Paper]
[Github]
LayoutRectifier: An Optimization-based Post-processing for Graphic Design Layout Generation
I-Chao Shen, Ariel Shamir, Takeo Igarashi.
Pacific Graphics 2025, The University of Tokyo & Reichman University
Content-Agnostic [Paper]
[Project]
Uni-Layout: Integrating Human Feedback in Unified Layout Generation and Evaluation
Shuo Lu, Yanyin Chen, Wei Feng, Jiahao Fan, Fengheng Li, Zheng Zhang, Jingjing Lv, Junjie Shen, Ching Law, Jian Liang.
ACMMM 2025, NLPR & MAIS, CASIA; School of AI, UCAS, Beijing, China & JD.COM, Beijing, China
Content-Aware LLM-based [Paper]
[Github]
IdeaBlocks: Expressing and Reusing Divergent Intents for Graphic Design Exploration using Generative AI
DaEun Choi, Kihoon Son, Jaesang Yu, Hyunjoon Jung, Juho Kim.
arXiv 2025, KAIST, Daejeon, Republic of Korea & MPhora.ai, San Francisco, CA, United States & School of Computing, KAIST, Daejeon, Republic of Korea & SkillBench, Santa Barbara, CA, USA
Graphic Design Generation LLM-based [Paper]
PosterMate: Audience-driven Collaborative Persona Agents for Poster Design
Donghoon Shin, Daniel Lee, Gary Hsieh, Gromit Yeuk-Yin Chan.
UIST 2025, University of Washington, Seattle, WA, USA & Adobe Inc., San Jose, CA, USA & Adobe Research, San Jose, CA, USA
Graphic Design Generation LLM-based [Paper]
IGD: Instructional Graphic Design with Multimodal Layer Generation
Yadong Qu, Shancheng Fang, Yuxin Wang, Xiaorui Wang, Zhineng Chen, Hongtao Xie, Yongdong Zhang.
ICCV 2025, University of Science and Technology of China & YuanShi Technology & Institute of Trustworthy Embodied AI, Fudan University
Graphic Design Generation [Paper]
[Proceedings]
Rethinking Layered Graphic Design Generation with a Top-Down Approach
Jingye Chen, Zhaowen Wang, Nanxuan Zhao, Li Zhang, Difan Liu, Jimei Yang, Qifeng Chen.
ICCV 2025, HKUST & Adobe Research & Runway
Graphic Design Generation [Paper]
[Proceedings]
ReLayout: Integrating Relation Reasoning for Content-aware Layout Generation with Multi-modal Large Language Models
Jiaxu Tian, Xuehui Yu, Yaoxing Wang, Pan Wang, Guangqian Guo, Shan Gao.
arXiv 2025
Content-Aware LLM-based [Paper]
[Dataset]
DreamPoster: A Unified Framework for Image-Conditioned Generative Poster Design
Xiwei Hu, Haokun Chen, Zhongqi Qi, Hui Zhang, Dexiang Hong, Jie Shao, Xinglong Wu.
arXiv 2025
Graphic Design Generation [Paper]
[Project]
CAL-RAG: Retrieval-Augmented Multi-Agent Generation for Content-Aware Layout Design
Najmeh Forouzandehmehr, Reza Yousefi Maragheh, Sriram Kollipara, Kai Zhao, Topojoy Biswas, Evren Korpeoglu, Kannan Achan.
arXiv 2025, Walmart Global Tech
Content-Aware LLM-based [Paper]
CreatiPoster: Towards Editable and Controllable Multi-Layer Graphic Design Generation
Dexiang Hong, Zhao Zhang, Weidong Chen, Yutao Cheng, Maoke Yang, Gonglei Shi, Hui Zhang, Zhendong Mao.
arXiv 2025, University of Science and Technology of China, Hefei, China & Intelligent Creation & Fudan University, Shanghai, China
Graphic Design Generation [Paper]
[Github]
SlideCoder: Layout-aware RAG-enhanced Hierarchical Slide Generation from Design
Wenxin Tang, Jingyu Xiao, Wenxuan Jiang, Xi Xiao, Yuhang Wang, Xuxin Tang, Qing Li, Yuehe Ma, Junliang Liu, Shisong Tang, Michael R. Lyu.
arXiv 2025, Tsinghua University & The Chinese University of Hong Kong & Northeastern University & Southwest University & Kuaishou Technology & Peng Cheng Laboratory & BNU-HKBU United International College & Dalian Maritime University
Scientific Poster / Slide Generation LLM-based [Paper]
[Github]
LayoutRAG: Retrieval-Augmented Model for Content-agnostic Conditional Layout Generation
Yuxuan Wu, Le Wang, Sanping Zhou, Mengnan Liu, Gang Hua, Haoxiang Li.
arXiv 2025, Xi’an Jiaotong University & Amazon.com, Inc & Pixocial Technology
Content-Agnostic [Paper]
Paper2Poster: Towards Multimodal Poster Automation from Scientific Papers
Wei Pang, Kevin Qinghong Lin, Xiangru Jian, Xi He, Philip H.S. Torr.
NeurIPS 2025, University of Waterloo & University of Oxford & Vector Institute
Scientific Poster / Slide Generation LLM-based [Paper]
[Proceedings]
[Github]
[Project]
Scan-and-Print: Patch-level Data Summarization and Augmentation for Content-aware Layout Generation in Poster Design
HsiaoYuan Hsu, Yuxin Peng.
arXiv 2025, Wangxuan Institute of Computer Technology, Peking University
Content-Aware [Paper]
[Project]
Aggregated Structural Representation with Large Language Models for Human-Centric Layout Generation
Jiongchao Jin, Shengchu Zhao, Dajun Chen, Wei Jiang, Yong Li.
arXiv 2025, Ant Group & Agency for Science, Technology and Research
Content-Agnostic LLM-based [Paper]
PosterO: Structuring Layout Trees to Enable Language Models in Generalized Content-Aware Layout Generation
HsiaoYuan Hsu, Yuxin Peng.
CVPR 2025, Wangxuan Institute of Computer Technology, Peking University
Content-Aware [Paper]
[Proceedings]
[Project]
Generating Animated Layouts as Structured Text Representations
Yeonsang Shin, Jihwan Kim, Yumin Song, Kyungseung Lee, Hyunhee Chung, Taeyoung Na.
CVPR 2025 Workshops (AI4CC), Seoul National University & SK telecom
Content-Agnostic [Paper]
[Project]
GraphicBench: A Planning Benchmark for Graphic Design with Language Agents
Dayeon Ki, Tianyi Zhou, Marine Carpuat, Gang Wu, Puneet Mathur, Viswanathan Swaminathan.
arXiv 2025, University of Maryland, College Park & Adobe Research
Dataset / Evaluation [Paper]
LayoutCoT: Unleashing the Deep Reasoning Potential of Large Language Models for Layout Generation
Hengyu Shi, Junhao Su, Tianyang Han, Junfeng Luo, Jialin Gao.
arXiv 2025, Meituan
Content-Agnostic LLM-based [Paper]
PosterMaker: Towards High-Quality Product Poster Generation with Accurate Text Rendering
Yifan Gao, Zihang Lin, Chuanbin Liu, Min Zhou, Tiezheng Ge, Bo Zheng, Hongtao Xie.
CVPR 2025, University of Science and Technology of China & Taobao & Tmall Group of Alibaba
Graphic Design Generation [Paper]
[Proceedings]
[Project]
From Fragment to One Piece: A Survey on AI-Driven Graphic Design
Xingxing Zou, Wen Zhang, Nanxuan Zhao.
arXiv 2025, The Hong Kong Polytechnic University & Snap Inc. & Adobe
Survey [Paper]
AesthetiQ: Enhancing Graphic Layout Design via Aesthetic-Aware Preference Alignment of Multi-modal Large Language Models
Sohan Patnaik, Rishabh Jain, Balaji Krishnamurthy, Mausoom Sarkar.
CVPR 2025, MDSR Adobe
Content-Aware LLM-based [Paper]
[Proceedings]
T-Stars-Poster: A Framework for Product-Centric Advertising Image Design
Hongyu Chen, Min Zhou, Jing Jiang, Jiale Chen, Yang Lu, Zihang Lin, Bo Xiao, Tiezheng Ge, Bo Zheng.
arXiv 2025, Alibaba Group, Beijing, China & Beijing University of Posts and Telecommunications, Beijing, China & Beijing, China
Graphic Design Generation [Paper]
[Github]
From Elements to Design: A Layered Approach for Automatic Graphic Design Composition
Jiawei Lin, Shizhao Sun, Danqing Huang, Ting Liu, Ji Li, Jiang Bian.
CVPR 2025
Graphic Design Generation [Paper]
[Proceedings]
SKE-Layout: Spatial Knowledge Enhanced Layout Generation with LLMs
Junsheng Wang, Nieqing Cao, Yan Ding, Mengying Xie, Fuqiang Gu, Chao Chen.
CVPR 2025
Content-Agnostic LLM-based [Paper]
[Proceedings]
Lay-Your-Scene: Natural Scene Layout Generation with Diffusion Transformers
Divyansh Srivastava, Xiang Zhang, He Wen, Chenru Wen, Zhuowen Tu.
ICCV 2025
Scene Layout Generation [Paper]
[Proceedings]
PlanGen: Towards Unified Layout Planning and Image Generation in Auto-Regressive Vision Language Models
Runze He, Bo Cheng, Yuhang Ma, Qingxiang Jia, Shanyuan Liu, Ao Ma, Xiaoyu Wu, Liebucha Wu, Dawei Leng, Yuhui Yin.
ICCV 2025
Graphic Design Generation LLM-based [Paper]
[Proceedings]
POSTA: A Go-to Framework for Customized Artistic Poster Generation
Haoyu Chen, Xiaojie Xu, Wenbo Li, Jingjing Ren, Tian Ye, Songhua Liu, Ying-Cong Chen, Lei Zhu, Xinchao Wang.
CVPR 2025, HKUST(Guangzhou) & CUHK & NUS & HKUST
LLM-based [Paper]
[Project]
[Proceedings]
Smaller But Better: Unifying Layout Generation with Smaller Large Language Models
Peirong Zhang, Jiaxin Zhang, Jiahuan Cao, Hongliang Li, Lianwen Jin.
arXiv 2025, South China University of Technology
Content-Agnostic LLM-based [Paper]
[Github]
Illuminating Spaces: Deep Reinforcement Learning and Laser-Wall Partitioning for Architectural Layout Generation
Reza Kakooee, Benjamin Dillenburger.
arXiv 2025, ETH Zurich
Content-Agnostic [Paper]
Problem Solved? Information Extraction Design Space for Layout-Rich Documents using LLMs
Gaye Colakoglu, Gürkan Solmaz, Jonathan Fürst.
arXiv 2025, Zurich University of Applied Sciences
layout-aware LLM-based [Paper]
[Github]
Spatial Information Integration in Small Language Models for Document Layout Generation and Classification
Pablo Melendez, Clemens Havas.
arXiv 2025, Salzburg University of Applied Sciences
Content-Agnostic LLM-based [Paper]
GLDesigner: Leveraging Multi-Modal LLMs as Designer for Enhanced Aesthetic Text Glyph Layouts
Junwen He, Yifan Wang, Lijun Wang, Huchuan Lu, Jun-Yan He, Chenyang Li, Hanyuan Chen, Jin-Peng Lan, Bin Luo, Yifeng Geng.
ACMMM 2025, Dalian University of Technology & Alibaba
[Paper]
Multimodal Markup Document Models for Graphic Design Completion
Kotaro Kikuchi, Naoto Inoue, Mayu Otani, Edgar Simo-Serra, Kota Yamaguchi.
ACMMM 2025, CyberAgent & Waseda University
Content-Aware [Paper]
[Project]
GlyphDraw2: Automatic Generation of Complex Glyph Posters with Diffusion Models and Large Language Models
Jian Ma, Yonglin Deng, Chen Chen, Haonan Lu, Zhenyu Yang.
AAAI 2025, OPPO AI Center & CUHK Shenzhen
LLM-based [Paper]
[Github]
2024
VASCAR: Content-Aware Layout Generation via Visual-Aware Self-Correction
Jiahao Zhang, Ryota Yoshihashi, Shunsuke Kitada, Atsuki Osanai, Yuta Nakashima.
arXiv 2024, Osaka University
Content-Aware LLM-based [Paper]
DogLayout: Denoising Diffusion GAN for Discrete and Continuous Layout Generation
Zhaoxing Gan, Guangnan Ye.
arXiv 2024, Fudan University
Content-Agnostic [Paper]
[Github]
Image-aware layout generation with user constraints for poster design
Chenchen Xu, Kaixin Han, Weiwei Xu.
The Visual Computer, Zhejiang University
Content-Aware [Paper]
Design Element Aware Poster Layout Generation
Yinan Li, Jia Chen, Yin Bai, Jia Cheng, Jun Lei.
CIKM 2024, Mtituan
Content-Aware [Paper]
Layout-Corrector: Alleviating Layout Sticking Phenomenon in Discrete Diffusion Model
Shoma Iwai, Atsuki Osanai, Shunsuke Kitada, Shinichiro Omachi.
ECCV 2024, Tohoku University & LY Corporation
Content-Agnostic [Paper]
[Project]
LTSim: Layout Transportation-based Similarity Measure for Evaluating Layout Generation
Mayu Otani, Naoto Inoue, Kotaro Kikuchi, Riku Togashi.
arXiv 2024, CyberAgent
Content-Agnostic [Paper]
LayoutDiT: Exploring Content-Graphic Balance in Layout Generation with Diffusion Transformer
Yu Li, Yifan Chen, Gongye Liu, Fei Yin, Qingyan Bai, Jie Wu, Hongfa Wang, Ruihang Chu, Yujiu Yang.
arXiv 2024, Tsinghua University & Tencent & HKUST
Content-Aware [Paper]
SciPostLayout: A Dataset for Layout Analysis and Layout Generation of Scientific Posters
Shohei Tanaka, Hao Wang, Yoshitaka Ushiku.
BMVC 2024, OMRON SINIC X Corporation & Waseda University
Content-Agnostic [Paper] [Github]
[Dataset]
Predicting Visual Attention in Graphic Design Documents
Souradeep Chakraborty, Zijun Wei, Conor Kelton, Seoyoung Ahn, Aruna Balasubramanian, Gregory J. Zelinsky, Dimitris Samaras.
arXiv 2024, Stony Brook University
[Paper]
Glyph-ByT5-v2: A Strong Aesthetic Baseline for Accurate Multilingual Visual Text Rendering
Zeyu Liu, Weicong Liang, Yiming Zhao, Bohan Chen, Lin Liang, Lijuan Wang, Ji Li, Yuhui Yuan.
arXiv 2024, Microsoft
[Paper]
[Project]
[Github]
OpenCOLE: Towards Reproducible Automatic Graphic Design Generation
Naoto Inoue, Kento Masui, Wataru Shimoda, Kota Yamaguchi.
CVPR 2024 Workshops, CyberAgent
[Paper]
[Github]
PosterLLaVa: Constructing a Unified Multi-modal Layout Generator with LLM
Tao Yang, Yingmin Luo, Zhongang Qi, Yang Wu, Ying Shan, Chang Wen Chen.
arXiv 2024, Tencent PCG
Content-Aware LLM-based [Paper]
[Project]
[Github]
CoLay: Controllable Layout Generation through Multi-conditional Latent Diffusion
Chin-Yi Cheng, Ruiqi Gao, Forrest Huang, Yang Li.
arXiv 2024, Google Research
Content-Agnostic [Paper]
Leveraging Human Revisions for Improving Text-to-Layout Models
Amber Xie, Chin-Yi Cheng, Forrest Huang, Yang Li.
arXiv 2024, Google Research
Content-Agnostic [Paper]
Automatic Layout Planning for Visually-Rich Documents with Instruction-Following Models
Wanrong Zhu, Jennifer Healey, Ruiyi Zhang, William Yang Wang, Tong Sun.
arXiv 2024, Adobe & UC Santa Barbara
LLM-based [Paper]
Graphic Design with Large Multimodal Model
Yutao Cheng, Zhao Zhang, Maoke Yang, Hui Nie, Chunyuan Li, Xinglong Wu, Jie Shao.
arXiv 2024, ByteDance & UCAS
LLM-based HLG [Paper]
[Github]
PosterLlama: Bridging Design Ability of Langauge Model to Contents-Aware Layout Generation
Jaejung Seol, Seojun Kim, Jaejun Yoo.
ECCV 2024, Ulsan National Institute of Science and Technology
LLM-based [Paper]
[Github-1]
[Github-2]
Constrained Layout Generation with Factor Graphs
Mohammed Haroon Dupty, Yanfei Dong, Sicong Leng, Guoji Fu, Yong Liang Goh, Wei Lu, Wee Sun Lee.
CVPR 2024, PayPal & National University of Singapore
[Paper]
LayoutFlow: Flow Matching for Layout Generation
Julian Jorge Andrade Guerreiro, Naoto Inoue, Kento Masui, Mayu Otani, Hideki Nakayama.
ECCV 2024, CyberAgent & The University of Tokyo
Content-Agnostic [Paper]
[Project]
[Github]
Glyph-ByT5: A Customized Text Encoder for Accurate Visual Text Rendering
Zeyu Liu, Weicong Liang, Zhanhao Liang, Chong Luo, Ji Li, Gao Huang, Yuhui Yuan.
ECCV 2024, Microsoft Research Asia & Tsinghua University
[Paper]
[Project]
[Github]
Visual Layout Composer: Image-Vector Dual Diffusion Model for Design Layout Generation
Mohammad Amin Shabani, Zhaowen Wang, Difan Liu, Nanxuan Zhao, Jimei Yang, Yasutaka Furukawa.
CVPR 2024, Adobe & Simon Fraser University
Content-Aware [Paper]
[Project]
Desigen: A Pipeline for Controllable Design Template Generation
Haohan Weng, Danqing Huang, Yu Qiao, Zheng Hu, Chin-Yew Lin, Tong Zhang, C. L. Philip Chen.
CVPR 2024, Microsoft Research Asia & South China University of Technology
[Paper]
[Github]
[Project]
Retrieval-Augmented Layout Transformer for Content-Aware Layout Generation
Daichi Horita, Naoto Inoue, Kotaro Kikuchi, Kota Yamaguchi, Kiyoharu Aizawa.
CVPR 2024(oral), CyberAgent & The University of Tokyo
Content-Aware [Paper]
[Project]
[Github]
LayoutNUWA: Revealing the Hidden Layout Expertise of Large Language Models
Zecheng Tang, Chenfei Wu, Juntao Li, Nan Duan.
ICLR 2024, Microsoft Research Asia & Soochow University
Content-Agnostic [Paper]
[Github]
Towards Aligned Layout Generation via Diffusion Model with Aesthetic Constraints
Jian Chen, Ruiyi Zhang, Yufan Zhou, Rajiv Jain, Zhiqiang Xu, Ryan Rossi, Changyou Chen.
ICLR 2024, Adobe Research & MBZUAI & University at Buffalo
Content-Agnostic [Paper]
[Github]
Spot the Error: Non-autoregressive Graphic Layout Generation with Wireframe Locator
Jieru Lin, Danqing Huang, Tiejun Zhao, Dechen Zhan, Chin-Yew Lin.
AAAI 2024, Microsoft Research & Harbin Institute of Technology
Content-Agnostic [Paper]
[Github]
Dolfin: Diffusion Layout Transformers without Autoencoder
Yilin Wang, Zeyuan Chen, Liangjun Zhong, Zheng Ding, Zhizhou Sha, Zhuowen Tu.
ECCV 2024, Tsinghua University & University of California, San Diego
Content-Agnostic [Paper]
LayoutDETR: Detection Transformer Is a Good Multimodal Layout Designer
Ning Yu, Chia-Chih Chen, Zeyuan Chen, Rui Meng, Gang Wu, Paul Josel, Juan Carlos Niebles, Caiming Xiong, Ran Xu.
ECCV 2024, Salesforce Research
Content-Aware [Paper]
[Github]
2023
COLE: A Hierarchical Generation Framework for Multi-Layered and Editable Graphic Design
Peidong Jia, Chenxuan Li, Yuhui Yuan, Zeyu Liu, Yichao Shen, Bohan Chen, Xingru Chen, Yinglin Zheng, Dong Chen, Ji Li, Xiaodong Xie, Shanghang Zhang, Baining Guo.
arXiv 2023, Microsoft Research Asia & Peking University
[Paper]
Relation-Aware Diffusion Model for Controllable Poster Layout Generation
Fengheng Li, An Liu, Wei Feng, Honghe Zhu, Yaoyu Li, Zheng Zhang, Jingjing Lv, Xin Zhu, Junjie Shen, Zhangang Lin, Jingping Shao.
CIKM 2023, JD & Nankai University
Content-Aware [Paper]
[Github]
[Dataset]
LayoutPrompter: Awaken the Design Ability of Large Language Models
Jiawei Lin, Jiaqi Guo, Shizhao Sun, Zijiang James Yang, Jian-Guang Lou, Dongmei Zhang.
NeurIPS 2023, Microsoft Research Asia & Shanghai Jiao Tong University
LLM-based [Paper]
[Github]
LayoutGPT: Compositional Visual Planning and Generation with Large Language Models
Weixi Feng, Wanrong Zhu, Tsu-jui Fu, Varun Jampani, Arjun Akula, Xuehai He, Sugato Basu, Xin Eric Wang, William Yang Wang.
NeurIPS 2023, Google & UC Santa Barbara
LLM-based [Paper]
[Project]
[Github]
DLT: Conditioned layout generation with Joint Discrete-Continuous Diffusion Layout Transformer
Elad Levi, Eli Brosh, Mykola Mykhailych, Meir Perez.
ICCV 2023, Wix.com
Content-Agnostic [Paper]
[Project]
[Github]
LayoutDiffusion: Improving Graphic Layout Generation by Discrete Diffusion Probabilistic Models
Junyi Zhang, Jiaqi Guo, Shizhao Sun, Jian-Guang Lou, Dongmei Zhang.
ICCV 2023, Microsoft Research Asia & Shanghai Jiao Tong University
Content-Agnostic [Paper]
[Github]
[Project]
A Parse-Then-Place Approach for Generating Graphic Layouts from Textual Descriptions
Jiawei Lin, Jiaqi Guo, Shizhao Sun, Weijiang Xu, Ting Liu.
ICCV 2023, Microsoft Research Asia & Shanghai Jiao Tong University
Content-Agnostic [Paper]
[Github]
Diffusion-based Document Layout Generation
Liu He, Yijuan Lu, John Corring, Dinei Florencio, Cha Zhang.
ICDAR 2023, Microsoft Cloud and AI & Purdue University
Content-Agnostic [Paper]
PLay: Parametrically Conditioned Layout Generation using Latent Diffusion
Chin-Yi Cheng, Forrest Huang, Gang Li, Yang Li.
ICML 2023, Google Research
Content-Agnostic [Paper]
PosterLayout: A New Benchmark and Approach for Content-aware Visual-Textual Presentation Layout
HsiaoYuan Hsu, Xiangteng He, Yuxin Peng, Hao Kong, Qing Zhang.
CVPR 2023, Meituan & Peking University
Content-Aware [Paper]
[Project]
[Github]
[Dataset1]
[Dataset2]
LayoutDM: Transformer-based diffusion model for layout generation
Shang Chai, Liansheng Zhuang, Fengying Yan.
CVPR 2023, University of Science and Technology of China & Tianjin University
Content-Agnostic [Paper]
LayoutDM: Discrete Diffusion Model for Controllable Layout Generation
Naoto Inoue, Kotaro Kikuchi, Edgar Simo-Serra, Mayu Otani, Kota Yamaguchi.
CVPR 2023, CyberAgent & Waseda University
Content-Agnostic [Paper]
[Project]
[Github]
LayoutFormer++: Conditional Graphic Layout Generation via Constraint Serialization and Decoding Space Restriction
Zhaoyun Jiang, Jiaqi Guo, Shizhao Sun, Huayu Deng, Zhongkai Wu, Vuksan Mijovic, Zijiang James Yang, Jian-Guang Lou, Dongmei Zhang.
CVPR 2023, Microsoft Research Asi & Xi’an Jiaotong University
Content-Agnostic [Paper]
[Github]
Towards Flexible Multi-modal Document Models
Naoto Inoue, Kotaro Kikuchi, Edgar Simo-Serra, Mayu Otani, Kota Yamaguchi.
CVPR 2023, CyberAgent & Waseda University
Content-Agnostic [Paper]
[Github]
Unifying Layout Generation with a Decoupled Diffusion Model
Mude Hui, Zhizheng Zhang, Xiaoyi Zhang, Wenxuan Xie, Yuwang Wang, Yan Lu.
CVPR 2023, Microsoft Research Asi & Xi’an Jiaotong University
Content-Agnostic [Paper]
Layout Generation as Intermediate Action Sequence Prediction
Huiting Yang, Danqing Huang, Chin-Yew Lin, Shengfeng He.
AAAI 2023, Microsoft Research Asia & South China University of Technology
Content-Agnostic [Paper]
[Github]
Machine Learning Model to Evaluate the Appropriateness of Layout for Automatic Generation of Graphic Design Works
Kohei Ishiyama, Taketoshi Ushiama.
IMCOM 2023, Kyushu University
Content-Agnostic [Paper]
2022
Geometry Aligned Variational Transformer for Image-conditioned Layout Generation
Yunning Cao, Ye Ma, Min Zhou, Chuanbin Liu, Hongtao Xie, Tiezheng Ge, Yuning Jiang.
ACMMM 2022, Alibaba Group & University of Science and Technology of China
Content-Aware [Paper]
BLT: Bidirectional Layout Transformer for Controllable Layout Generation
Xiang Kong, Lu Jiang, Huiwen Chang, Han Zhang, Yuan Hao, Haifeng Gong, Irfan Essa.
ECCV 2022, Google & Carnegie Mellon University
Content-Agnostic [Paper]
[Github]
[Project]
Composition-aware Graphic Layout GAN for Visual-textual Presentation Designs
Min Zhou, Chenchen Xu, Ye Ma, Tiezheng Ge, Yuning Jiang, Weiwei Xu.
IJCAI 2022, Alibaba Group & Zhejiang University
Content-Aware [Paper]
[Project]
[Github]
[Dataset]
Coarse-to-Fine Generative Modeling for Graphic Layouts
Zhaoyun Jiang, Shizhao Sun, Jihua Zhu, Jian-Guang Lou, Dongmei Zhang.
AAAI 2022, Microsoft Research Asia & Xi’an Jiaotong University
Content-Agnostic [Paper]
[Github]
Aesthetics++: Refining graphic designs by exploring design principles and human preference
Wenyuan Kong, Zhaoyun Jiang, Shizhao Sun, Zhuoning Guo, Weiwei Cui, Ting Liu, Jian-Guang Lou, and Dongmei Zhang.
TVCG 2022, Microsoft Research Asi & Peking University & Xi’an Jiaotong University
Content-Agnostic [Paper]
[Github]
2021
Constrained Graphic Layout Generation via Latent Optimization
Kotaro Kikuchi, Edgar Simo-Serra, Mayu Otani, Kota Yamaguchi.
ACMMM 2021, CyberAgent & Waseda University
Content-Agnostic [Paper]
[Github]
RUITE: Refining UI Layout Aesthetics Using Transformer Encoder
Soliha Rahman, Vinoth Pandian Sermuga Pandian, Matthias Jarke.
IUI 2021, RWTH Aachen University
[Paper]
[Github]
LayoutTransformer: Layout Generation and Completion with Self-attention
Kamal Gupta, Justin Lazarow, Alessandro Achille, Larry Davis, Vijay Mahadevan, Abhinav Shrivastava.
ICCV 2021, Amazon & University of Maryland
Content-Agnostic [Paper]
[Github]
CanvasVAE: Learning to Generate Vector Graphic Documents
Kota Yamaguchi.
ICCV 2021, CyberAgent
Content-Agnostic [Paper]
[Github]
[Dataset]
LayoutTransformer: Scene Layout Generation with Conceptual and Spatial Diversity
Cheng-Fu Yang, Wan-Cyuan Fan, Fu-En Yang, Yu-Chiang Frank Wang.
CVPR 2021, ASUS & National Taiwan University
Content-Agnostic [Paper]
[Github]
Variational Transformer Networks for Layout Generation
Diego Martin Arroyo, Janis Postels, Federico Tombari.
CVPR 2021, Google & ETH
Content-Agnostic [Paper]
Attribute-conditioned Layout GAN for Automatic Graphic Design
Jianan Li, Jimei Yang, Jianming Zhang, Chang Liu, Christina Wang, Tingfa Xu.
TVCG 2021, Adobe & Beijing Institute of Technology
Content-Agnostic [Paper]
2019-2020
READ: Recursive Autoencoders for Document Layout Generation
Akshay Gadi Patil, Omri Ben-Eliezer, Or Perel, Hadar Averbuch-Elor.
CVPRW 2020, Amazon & Simon Fraser University
Content-Agnostic [Paper]
Neural Design Network: Graphic Layout Generation with Constraints
Hsin-Ying Lee, Lu Jiang, Irfan Essa, Phuong B Le, Haifeng Gong, Ming-Hsuan Yang, Weilong Yang.
ECCV 2020, Google Research & University of California, Merced
Content-Agnostic [Paper]
Retrieve-Then-Adapt: Example-based Automatic Generation for Proportion-related Infographics
Chunyao Qian, Shizhao Sun, Weiwei Cui, Jian-Guang Lou, Haidong Zhang, Dongmei Zhang.
VIS 2020, Microsoft Research Asia
Content-Agnostic [Paper]
[Github]
Content-Aware Generative Modeling of Graphic Design Layouts
Xinru Zheng, Xiaotian Qiao, Ying Cao, Rynson W.H. Lau.
ACM TOG 2019 / SIGGRAPH 2019, City University of Hong Kong
Content-Aware [Paper]
[Project]
[Code]
[Dataset1]
[Dataset2]
[Dataset3]
LayoutVAE: Stochastic Scene Layout Generation From a Label Set
Akash Abdu Jyothi, Thibaut Durand, Jiawei He, Leonid Sigal, Greg Mori.
ICCV 2019, Borealis AI & Simon Fraser University & University of British Columbia
Content-Agnostic [Paper]
[Github]
LayoutGAN: Generating Graphic Layouts with Wireframe Discriminators
Jianan Li, Jimei Yang, Aaron Hertzmann, Jianming Zhang, Tingfa Xu.
ICLR 2019, Adobe & Beijing Institute of Technology
TPAMI 2020 (LayoutGAN: Synthesizing Graphic Layouts with Vector-Wireframe Adversarial Networks)
Content-Agnostic [ICLR_Paper1]
[ICLR_Paper2]
[TPAMI_Paper]
[Github-1]
[Github-2]
[Github-3]
Before
Automatic Generation of Visual-Textual Presentation Layout
Xuyong Yang, Tao Mei, Ying-Qing Xu, Yong Rui, Shipeng Li.
ACM ToMM 2016, Microsoft Research Asia & University of Science and Technology of China
[Paper]
DesignScape: Design with Interactive Layout Suggestions
Peter O’Donovan, Aseem Agarwala, Aaron Hertzmann.
CHI 2015, Adobe & the University of Toronto
[Paper]
[Project]
Learning Layouts for Single-Page Graphic Designs
Peter O’Donovan, Aseem Agarwala, Aaron Hertzmann.
TVCG 2014, Adobe & the University of Toronto
[Paper]
[Project]
Reference
https://github.com/JosephKJ/Awesome-Layout-Generators
https://github.com/huapohen/Awesome-Layout-Generation
https://github.com/Layout-Generation/layout-generation
https://github.com/microsoft/LayoutGeneration
https://github.com/jdily/awesome-layout-generation
Contributors
Similar repos
README
Awesome Layout Generation
A curated bibliography of graphic layout generation, content-aware poster design, document layouts and editable graphic design.
Last updated: 2026-09-22. New entries are checked against arXiv records and official proceedings or author project pages. Unconfirmed publication venues remain labeled as arXiv; affiliations and additional resource links are included when verified. This is a curated collection, not an exhaustive index.
Content-Agnostic and Content-Aware describe task conditioning; LLM-based describes a model family and may co-occur with either. Additional tags identify full-design generation, editing, surveys and evaluation.
Dataset
Content-agnostic Layout Generation
- Rico Dataset (ACM UIST 2017) [Paper] [Download]
- PubLayNet Dataset (ICDAR 2019) [Paper] [Download1] [Download2]
- Magazine Dataset (SIGRAPH 2019) [Paper] [Github] [Download1] [Download2]
- Crello Dataset (ICCV 2021) [Paper] [Github] [Download]
- DocLayNet Dataset (KDD 2022) [Paper] [Download] [Huggingface]
- WebUI Dataset (CHI 2023) [Paper] [Download]
- M6Doc Dataset (CVPR 2023) [Paper] [Download]
- SciPostLayout (BMVC 2024) [Paper] [Download]
Content-aware Layout Generation
- CGL Dataset v1 (IJCAI 2022) [Paper] [Github] [Download]
- CGL Dataset v2 (CIKM 2023) [Paper] [Github] [Download]
- PKU PosterLayout Dataset (CVPR 2023) [Paper] [Github] [Download1(official)] [Download2(unofficial)]
Recent Layout and Graphic Design Datasets
- OmniDocLayout-1M (CVPR 2026) [Paper] [Github] [Download]
- Sketch-to-Layout datasets (ICCV 2025 Workshops) [Paper] [Github / Data]
- GenPoster-100K (SEGA, ICCV 2025) [Paper] [Project] [Dataset]
- Layout-HF100k (Uni-Layout, ACMMM 2025) [Paper] [Github / Data]
- LICA: Layered Image Composition Annotations (2026) [Paper] [Github] [Download]
Design Evaluation and Scientific Poster Benchmarks
- DesignSense (2026) [Paper]
- TASTE (2026) [Paper]
- Graphic-Design-Bench (2026) [Paper] [Github]
- PosterIQ (CVPR 2026) [Paper] [Github]
- E-comIQ-ZH (CVPR 2026) [Paper] [Github]
- Paper2Poster benchmark (NeurIPS 2025) [Paper] [Project] [Github / Data]
- P2P benchmark (ICLR 2026) [Paper] [Github]
2026
Designer-RSI: Evolving Procedural Memory from User Traffic for Agentic Graphic Design
Hongyang Du, Lan Yan, Christian Flores, Asim Kadav.
arXiv 2026, Adobe & Brown University
Graphic Design Generation LLM-based [Paper]
Human-aware Design Generation: Adding 3D Humans into Graphic Designs
Zijin Hou, Ying Cao.
ACMMM 2026, ShanghaiTech University, Shanghai, China
Graphic Design Generation [Paper]
[Github]
From Transient Prompts to Persistent Control: Scientific Poster Generation via Recursive Semantic-Geometric Contracts
Runze Li, Yukun Zhao, Can Xu, Yucheng Shen, Shuaiqiang Wang, Jianmin Wu, Lingyong Yan, Dawei Yin.
arXiv 2026
Scientific Poster / Slide Generation LLM-based [Paper]
Learning Interaction between Image and Layout Priors for Joint Image-Layout Generation in Design Templates
Shirong Yang, Bo Yang, Ying Cao.
arXiv 2026, ShanghaiTech University
Content-Aware [Paper]
GDB-Reward: From Evaluation Metrics to Training Rewards for Graphic Design
Adrienne Deganutti, Purvanshi Mehta, Simon Hadfield, Andrew Gilbert.
arXiv 2026
Dataset / Evaluation [Paper]
Giraffe: A Mapping Architecture from Hidden Text Representations to Visual Embeddings for Efficient Graphic Design
Nejla Ghaboosi.
arXiv 2026, Canva Research
Graphic Design Generation LLM-based [Paper]
TextRefine: Improving Textual Fidelity, Spatial Placement, and Glyph Rendering for Text Editing in Product Posters
Honglie Wang, Jia Sun, Zijun Li, Junlong Wu, Pengcheng Wei, Jiyuan Wang, Yongrui Heng, Boheng Zhang, Huaiqing Wang, Dewen Fan, Qianqian Gan, Fan Yang, Tingting Gao, Yan-Ming Zhang.
arXiv 2026
Graphic Design Editing [Paper]
Mise-en-Scène: Implicit Layout Emergence in Diffusion Transformers for Human-AI Design Co-Creation
Zipeng Xu, Ryan Murdock, Umberto Michieli.
ECCV 2026 Workshops, Canva Research
Graphic Design Generation [Paper]
PosterText: Towards Unified Visual Text Generation and Editing for E-commerce Poster
Xiaoan Liu, Lichen Ma, Zipeng Guo, Yu He, Xiaoyan Su, Shaojie Guo, Jingling Fu, Xiaolong Fu, Hao Yang, Tongxuan Liu, Yu Guo, Fei Wang, Xinyi Liu, Yongjun Zhang, Junshi Huang.
arXiv 2026
Graphic Design Generation [Paper]
PosterMELD: Multi-Agent Paper-to-Poster Generation for Controllable Design Diversity with Editable Print-Ready Outputs
Haojie Hu, Chenhao Dang, Yaojia Liu, Hengrui Kang, Conghui He, Weijia Li.
arXiv 2026
Scientific Poster / Slide Generation LLM-based [Paper]
[Github]
SG-Layout: Structured Scene Graph-Guided Layout Generation with LLMs
Junsheng Wang, Chao Chen, Mengying Xie, Mingyan Li, Fuqiang Gu.
WAICA 2026, Chongqing University, Chongqing, China
Content-Agnostic LLM-based [Paper]
StructuredEdit: Constraint-Aware Graphic Design Editing via Differentiable Parameter Propagation
Veeramanohar Avudaiappan, Ritwik Murali.
arXiv 2026, Department of Electrical and Electronics Engineering, Amrita School of Engineering, Coimbatore, Amrita Vishwa Vidyapeetham, India & Department of Computer Science and Engineering, Amrita School of Computing, Coimbatore, Amrita Vishwa Vidyapeetham, India
Graphic Design Editing [Paper]
ResearchStudio-Reel: Automate the Last Mile of Research from Paper to Poster, Video, and Blog
Lingao Xiao, Yalun Dai, Yangyu Huang, Qihao Zhao, Wenshan Wu, Hugo He, Ruishuo Chen, Jin Jiang, Qianli Ma, Jiahuan Zhang, Xin Zhang, Ying Xin, Yang Ou, Yan Xia, Scarlett Li, Longbo Huang, Zhipeng Zhang, Yang He, Yap Kim Hui, Yan Lu.
arXiv 2026, Microsoft Research & National University of Singapore & Nanyang Technological University & Tsinghua University & Peking University & Shanghai Jiao Tong University & Westlake University & A*STAR
Scientific Poster / Slide Generation LLM-based [Paper]
[Github]
PosterHarness: Turning Scientific Poster Generation into an Auditable Instruction-Following Benchmark
Tianyi Yang, Dawei Fu, Youpeng Wu, Zixun Kou, Linrui Chen, Ruobing Jiang, Zijian Wang, Qiang Li.
arXiv 2026, School of Physics, Peking University
Dataset / Evaluation [Paper]
Aggregating LLM-Based Weak Verifiers for Spatial Layout Generation
Sharon Zhang, R. Kenny Jones, Jiajun Wu, Maneesh Agrawala.
arXiv 2026, Stanford University, Stanford, California, USA & Roblox, San Mateo, California, USA
Dataset / Evaluation [Paper]
Any2Poster: Any-Source Poster Generation Across Modalities and Domains
Amogh Vinaykumar, Aiden Li, Suozhi Huang, Shilong Liu.
arXiv 2026, Flower Mound High School & University College London & Princeton University
Scientific Poster / Slide Generation LLM-based [Paper]
[Github]
[Project]
TASTE: A Designer-Annotated Multi-Dimensional Preference Dataset for AI-Generated Graphic Design
Haonan Zhu, Elad Hirsch, Alexandria Minetti, Allison Nulty, Ben Huffman, Purvanshi Mehta.
arXiv 2026, Lica World, San Francisco, USA & Contra.Work Inc., Brooklyn, NY, USA
Dataset / Evaluation [Paper]
SIMPLEPOSTER: A SIMPLE BASELINE FOR PRODUCT POSTER GENERATION
Benlei Cui, Fangao Zeng, Weitao Jiang, Yuwen Zhai, Haiwen Hong, Longtao Huang, Hui Xue, Wenxiang Shang, Pipei Huang.
CVPR 2026, Taobao & Tmall Group, Alibaba Group & Yuvion Team, Alibaba Group
Graphic Design Generation [Paper]
[Proceedings]
[Github]
[Github]
CreatiParser: Generative Image Parsing of Raster Graphic Designs into Editable Layers
Weidong Chen, Dexiang Hong, Zhendong Mao, Yutao Cheng, Xinyan Liu, Lei Zhang, Yongdong Zhang.
arXiv 2026
Graphic Design Editing [Paper]
AeSlides: Incentivizing Aesthetic Layout in LLM-Based Slide Generation via Verifiable Rewards
Yiming Pan, Chengwei Hu, Xuancheng Huang, Can Huang, Mingming Zhao, Yuean Bi, Xiaohan Zhang, Aohan Zeng, Linmei Hu.
arXiv 2026, Beijing Institute of Technology & Zhipu AI (Z.ai)
Scientific Poster / Slide Generation LLM-based [Paper]
[Github]
Brief2Design: A Multi-phased, Compositional Approach to Prompt-based Graphic Design
Kotaro Kikuchi, Nami Ogawa.
arXiv 2026, CyberAgent, Tokyo, Japan
Graphic Design Generation LLM-based [Paper]
ReContraster: Making Your Posters Stand Out with Regional Contrast
Peixuan Zhang, Zijian Jia, Ziqi Cai, Shuchen Weng, Si Li, Boxin Shi.
arXiv 2026, State Key Laboratory for Multimedia Information Processing, School of Computer Science, Peking University & National Engineering Research Center of Visual Technology, School of Computer Science, Peking University & Beijing Academy of Artificial Intelligence & School of Artificial Intelligence, Beijing University of Posts and Telecommunications
Graphic Design Editing [Paper]
GAN-based Domain Adaptation for Image-aware Layout Generation in Advertising Poster Design
Chenchen Xu, Min Zhou, Tiezheng Ge, Weiwei Xu.
arXiv 2026, Anhui Normal University & Zhejiang University & Shenzhen Bay Laboratory & Alibaba Group
Content-Aware [Paper]
Graphic-Design-Bench: A Comprehensive Benchmark for Evaluating AI on Graphic Design Tasks
Adrienne Deganutti, Elad Hirsch, Haonan Zhu, Jaejung Seol, Purvanshi Mehta.
arXiv 2026, Lica World
Dataset / Evaluation [Paper]
[Github]
iPoster: Content-Aware Layout Generation for Interactive Poster Design via Graph-Enhanced Diffusion Models
Xudong Zhou, Jinyuan Liang, Qiuyi Guo, Guozheng Li.
CHI EA 2026, Beijing Institute of Technology, Beijing, China
Content-Aware [Paper]
PosterIQ: A Design Perspective Benchmark for Poster Understanding and Generation
Yuheng Feng, Wen Zhang, Haodong Duan, Xingxing Zou.
CVPR 2026, The Hong Kong Polytechnic University & Snapchat Inc & ByteDance Seed
Dataset / Evaluation [Paper]
[Proceedings]
[Github]
Seeing is Improving: Visual Feedback for Iterative Text Layout Refinement
Junrong Guo, Shancheng Fang, Yadong Qu, Hongtao Xie.
CVPR 2026, University of Science and Technology of China & Shenzhen University
Graphic Design Editing [Paper]
[Proceedings]
[Github]
LICA: Layered Image Composition Annotations for Graphic Design Research
Elad Hirsch, Shubham Yadav, Mohit Garg, Purvanshi Mehta.
arXiv 2026, Lica World
Dataset / Evaluation [Paper]
[Github]
[Dataset]
InnoAds-Composer: Efficient Condition Composition for E-Commerce Poster Generation
Yuxin Qin, Ke Cao, Haowei Liu, Ao Ma, Fengheng Li, Honghe Zhu, Zheng Zhang, Run Ling, Wei Feng, Xuanhua He, Zhanjie Zhang, Zhen Guo, Haoyi Bian, Jingjing Lv, Junjie Shen, Ching Law.
CVPR 2026, JD.com, Inc., Beijing, China & The Hong Kong University of Science and Technology, Hong Kong, China & Chongqing University of Posts and Telecommunications, Chongqing, China & Zhejiang University, Hangzhou, China
Graphic Design Generation [Paper]
[Proceedings]
DesignSense: A Human Preference Dataset and Reward Modeling Framework for Graphic Layout Generation
Varun Gopal, Rishabh Jain, Aradhya Mathur, Nikitha SR, Sohan Patnaik, Sudhir Yarram, Mayur Hemani, Balaji Krishnamurthy, Mausoom Sarkar.
arXiv 2026, MDSR, Adobe
Dataset / Evaluation [Paper]
EfficientPosterGen: Semantic-aware Efficient Poster Generation via Token Compression and Accurate Violation Detection
Wenxin Tang, Jingyu Xiao, Yanpei Gong, Fengyuan Ran, Tongchuan Xia, Junliang Liu, Man Ho Lam, Wenxuan Wang, Michael R. Lyu.
arXiv 2026, Tsinghua University, Beijing, China & The Chinese University of Hong Kong, Hong Kong, China & Harbin Institute of Technology, Harbin, China & Wuhan University, Wuhan, China & Beijing University of Posts and Telecommunications, Beijing, China & Dalian Maritime University, Dalian, China & Renmin University of China, Beijing, China
Graphic Design Generation [Paper]
[Github]
E-comIQ-ZH: A Human-Aligned Dataset and Benchmark for Fine-Grained Evaluation of E-commerce Posters with Chain-of-Thought
Meiqi Sun, Mingyu Li, Junxiong Zhu.
CVPR 2026, Taobao & Tmall Group, Alibaba Group
Dataset / Evaluation [Paper]
[Proceedings]
[Github]
PosterReward: Unlocking Accurate Evaluation for High-Quality Graphic Design Generation
Jianyu Lai, Sixiang Chen, Jialin Gao, Hengyu Shi, Zhongying Liu, Fuxiang Zhai, Junfeng Luo, Xiaoming Wei, Lujia Wang, Lei Zhu.
CVPR 2026, The Hong Kong University of Science and Technology (Guangzhou), & Meituan & The Hong Kong University of Science and Technology
Dataset / Evaluation [Paper]
[Proceedings]
[Project]
From Pixels to Policies: Reinforcing Spatial Reasoning in Language Models for Content-Aware Layout Design
Sha Li, Stefano Petrangeli, Yu Shen, Xiang Chen.
ACL 2026 Industry Track, Virginia Tech & Adobe Research
Content-Aware LLM-based [Paper]
[Proceedings]
PosterOmni: Generalized Artistic Poster Creation via Task Distillation and Unified Reward Feedback
Sixiang Chen, Jianyu Lai, Jialin Gao, Hengyu Shi, Zhongying Liu, Tian Ye, Junfeng Luo, Xiaoming Wei, Lei Zhu.
CVPR 2026, The Hong Kong University of Science and Technology (Guangzhou), & Meituan, & The Hong Kong University of Science and Technology
Graphic Design Generation [Paper]
[Proceedings]
[Project]
DesignAsCode: Bridging Structural Editability and Visual Fidelity in Graphic Design Generation
Ziyuan Liu, Shizhao Sun, Danqing Huang, Yingdong Shi, Meisheng Zhang, Ji Li, Jingsong Yu, Jiang Bian.
arXiv 2026, School of Software and Microelectronics, Peking University, Beijing, China & Microsoft, Beijing, China & Microsoft, Mountain View, USA & ShanghaiTech University, Shanghai, China & Peking University, Beijing, China
Graphic Design Generation LLM-based [Paper]
[Project]
APEX: Academic Poster Editing Agentic Expert
Chengxin Shi, Qinnan Cai, Zeyuan Chen, Long Zeng, Yibo Zhao, Jing Yu, Jianxiang Yu, Xiang Li.
arXiv 2026, School of Data Science and Engineering, East China Normal University
Scientific Poster / Slide Generation LLM-based [Paper]
[Github]
PosterVerse: A Full-Workflow Framework for Commercial-Grade Poster Generation with HTML-Based Scalable Typography
Junle Liu, Peirong Zhang, Yuyi Zhang, Pengyu Yan, Hui Zhou, Xinyue Zhou, Fengjun Guo, Lianwen Jin.
AAAI 2026
Graphic Design Generation LLM-based [Paper]
[Github]
PSDesigner: Automated Graphic Design with a Human-Like Creative Workflow
Xincheng Shuai, Song Tang, Yutong Huang, Henghui Ding, Dacheng Tao.
CVPR 2026
Graphic Design Generation LLM-based [Paper]
[Proceedings]
Can Vision–Language Models Assess Graphic Design Aesthetics? A Benchmark, Evaluation, and Dataset Perspective.
Ruichuan An, Shizhao Sun, Danqing Huang, Mingxi Cheng, Yan Gao, Ji Li, YU QIAO, Jiang Bian.
ICLR 2026
Dataset / Evaluation [Paper]
[Proceedings]
AutoPP: Towards Automated Product Poster Generation and Optimization
Jiahao Fan, Yuxin Qin, Wei Feng, Yanyin Chen, Yaoyu Li, Ao Ma, Yixiu Li, Li Zhuang, Haoyi Bian, Zheng Zhang, Jingjing Lv, Junjie Shen, Ching Law.
AAAI 2026
Graphic Design Generation LLM-based [Paper]
[Github]
Qwen-Image-Layered: Towards Inherent Editability via Layer Decomposition
Shengming Yin, Zekai Zhang, Zecheng Tang, Kaiyuan Gao, Xiao Xu, Kun Yan, Jiahao Li, Yilei Chen, Yuxiang Chen, Heung-Yeung Shum, Lionel M. Ni, Junyang Lin, Chenfei Wu.
CVPR 2026, HKUST(GZ) Alibaba HKUST
Graphic Design Editing [Paper]
[Proceedings]
[Github]
UniLayDiff: A Unified Diffusion Transformer for Content-Aware Layout Generation
Zeyang Liu, Le Wang, Sanping Zhou, Yuxuan Wu, Xiaolong Sun, Gang Hua, Haoxiang Li.
CVPR 2026 Findings, College of Artificial Intelligence, Xi’an Jiaotong University Amazon.com, Inc. Pixocial Technology
Content-Aware [Paper]
SciPostGen: Bridging the Gap between Scientific Papers and Poster Layouts
Shun Inadumi, Shohei Tanaka, Tosho Hirasawa, Atsushi Hashimoto, Koichiro Yoshino, Yoshitaka Ushiku.
CVPR 2026 Findings, OMRON SINIC X Corp & NAIST & The University of Osaka
Scientific Poster / Slide Generation LLM-based [Paper]
[Project]
SkyReels-Text: Fine-Grained Font-Controllable Text Editing for Poster Design
Yunjie Yu, Jingchen Wu, Junchen Zhu, Chunze Lin, Guibin Chen.
CVPR 2026, Skywork AI
Graphic Design Editing [Paper]
[Proceedings]
[Github]
OmniDocLayout: Towards Diverse Document Layout Generation via Coarse-to-Fine LLM Learning
Hengrui Kang, Zhuangcheng Gu, Zhiyuan Zhao, Zichen Wen, Bin Wang, Weijia Li, Conghui He.
CVPR 2026, Shanghai Jiao Tong University & Shanghai AI Laboratory & Sun Yat-sen University
Content-Agnostic LLM-based [Paper]
[Proceedings]
[Github]
[Dataset]
PosterForest: Hierarchical Multi-Agent Collaboration for Scientific Poster Generation
Jiho Choi, Seojeong Park, Seongjong Song, Hyunjung Shim.
ACL 2026
Scientific Poster / Slide Generation LLM-based [Paper]
PosterGen: Aesthetic-Aware Multi-Modal Paper-to-Poster Generation via Multi-Agent LLMs
Zhilin Zhang, Xiang Zhang, Jiaqi Wei, Yiwei Xu, Chenyu You.
CVPR 2026 Findings, Stony Brook University & New York University & University of British Columbia & Zhejiang University & University of California, Los Angeles
Scientific Poster / Slide Generation LLM-based [Paper]
[Project]
[Github]
PosterCraft: Rethinking High-Quality Aesthetic Poster Generation in a Unified Framework
Sixiang Chen, Jianyu Lai, Jialin Gao, Tian Ye, Haoyu Chen, Hengyu Shi, Shitong Shao, Yunlong Lin, Song Fei, Zhaohu Xing, Yeying Jin, Junfeng Luo, Xiaoming Wei, Lei Zhu.
ICLR 2026, HKUST (Guangzhou) & Meituan & Xiamen University & National University of Singapore & HKUST
Graphic Design Generation [Paper]
[Proceedings]
[Project]
CreatiDesign: A Unified Multi-Conditional Diffusion Transformer for Creative Graphic Design
Hui Zhang, Dexiang Hong, Maoke Yang, Yutao Cheng, Zhao Zhang, Weidong Chen, Jie Shao, Xinglong Wu, Zuxuan Wu, Yu-Gang Jiang.
ICLR 2026, Institute of Trustworthy Embodied AI, Fudan University & Shanghai Key Laboratory of Multimodal Embodied AI & Bytedance Intelligent Creation & School of Information Science and Technology, University of Science and Technology of China
Graphic Design Generation [Paper]
[Proceedings]
P2P: Automated Paper-to-Poster Generation and Fine-Grained Benchmark
Tao Sun, Enhao Pan, Zhengkai Yang, Kaixin Sui, Jiajun Shi, Xianfu Cheng, Tongliang Li, Ge Zhang, Wenhao Huang, Jian Yang, Zhoujun Li.
ICLR 2026, ByteDance, China & College of Computer Science, Beijing Information Science and Technology University & Shenzhen Intelligent Strong Technology Co.,Ltd
Scientific Poster / Slide Generation LLM-based [Paper]
[Proceedings]
[Github]
2025
UTDesign: A Unified Framework for Stylized Text Editing and Generation in Graphic Design Images
Yiming Zhao, Yuanpeng Gao, Yuxuan Luo, Jiwei Duan, Shisong Lin, Longfei Xiong, Zhouhui Lian.
SIGGRAPH Asia 2025, Wangxuan Institute of Computer Technology, Peking University, Beijing, China & Kingsoft Office, Zhuhai, China & State Key Laboratory of General Artificial Intelligence, Peking University, Beijing, China
Graphic Design Generation [Paper]
[Github]
Content-Aware Ad Banner Layout Generation with Two-Stage Chain-of-Thought in Vision Language Models
Kei Yoshitake, Kento Hosono, Ken Kobayashi, Kazuhide Nakata.
arXiv 2025, Institute of Science Tokyo & HAKUHODO Technologies Inc
Content-Aware LLM-based [Paper]
PosterCopilot: Toward Layout Reasoning and Controllable Editing for Professional Graphic Design
Jiazhe Wei, Ken Li, Tianyu Lao, Haofan Wang, Liang Wang, Caifeng Shan, Chenyang Si.
arXiv 2025, LibLib.ai & PRLab, Nanjing University & Institute of Automation, Chinese Academy of Sciences[2mm]
Content-Aware LLM-based [Paper]
[Project]
Sketch-to-Layout: Sketch-Guided Multimodal Layout Generation
Riccardo Brioschi, Aleksandr Alekseev, Emanuele Nevali, Berkay Döner, Omar El Malki, Blagoj Mitrevski, Leandro Kieliger, Mark Collier, Andrii Maksai, Jesse Berent, Claudiu Musat, Efi Kokiopoulou.
ICCV 2025 Workshops (HiGen)
Content-Agnostic [Paper]
[Github]
StructLayoutFormer:Conditional Structured Layout Generation via Structure Serialization and Disentanglement
Xin Hu, Pengfei Xu, Jin Zhou, Hongbo Fu, Hui Huang.
arXiv 2025
Content-Agnostic [Paper]
[Github]
SEGA: A Stepwise Evolution Paradigm for Content-Aware Layout Generation with Design Prior
Haoran Wang, Bo Zhao, Jinghui Wang, Hanzhang Wang, Huan Yang, Wei Ji, Hao Liu, Xinyan Xiao.
ICCV 2025, Baidu Inc & Nanjing University & Harbin Institute of Technology & Kuaishou Technology
Content-Aware LLM-based [Paper]
[Proceedings]
[Project]
[Github]
[Dataset]
LayerD: Decomposing Raster Graphic Designs into Layers
Tomoyuki Suzuki, Kang-Jun Liu, Naoto Inoue, Kota Yamaguchi.
ICCV 2025, CyberAgent & Tohoku University
Graphic Design Editing [Paper]
[Proceedings]
[Project]
[Github]
LLMs as Layout Designers: Enhanced Spatial Reasoning for Content-Aware Layout Generation
Sha Li, Stefano Petrangeli, Yu Shen, Xiang Chen, Naren Ramakrishnan.
arXiv 2025
Content-Aware LLM-based [Paper]
SheetDesigner: MLLM-Powered Spreadsheet Layout Generation with Rule-Based and Vision-Based Reflection
Qin Chen, Yuanyi Ren, Xiaojun Ma, Mugeng Liu, Han Shi, Dongmei Zhang.
EMNLP 2025, Peking University & Microsoft
Document / UI Layout LLM-based [Paper]
[Github]
LayoutRectifier: An Optimization-based Post-processing for Graphic Design Layout Generation
I-Chao Shen, Ariel Shamir, Takeo Igarashi.
Pacific Graphics 2025, The University of Tokyo & Reichman University
Content-Agnostic [Paper]
[Project]
Uni-Layout: Integrating Human Feedback in Unified Layout Generation and Evaluation
Shuo Lu, Yanyin Chen, Wei Feng, Jiahao Fan, Fengheng Li, Zheng Zhang, Jingjing Lv, Junjie Shen, Ching Law, Jian Liang.
ACMMM 2025, NLPR & MAIS, CASIA; School of AI, UCAS, Beijing, China & JD.COM, Beijing, China
Content-Aware LLM-based [Paper]
[Github]
IdeaBlocks: Expressing and Reusing Divergent Intents for Graphic Design Exploration using Generative AI
DaEun Choi, Kihoon Son, Jaesang Yu, Hyunjoon Jung, Juho Kim.
arXiv 2025, KAIST, Daejeon, Republic of Korea & MPhora.ai, San Francisco, CA, United States & School of Computing, KAIST, Daejeon, Republic of Korea & SkillBench, Santa Barbara, CA, USA
Graphic Design Generation LLM-based [Paper]
PosterMate: Audience-driven Collaborative Persona Agents for Poster Design
Donghoon Shin, Daniel Lee, Gary Hsieh, Gromit Yeuk-Yin Chan.
UIST 2025, University of Washington, Seattle, WA, USA & Adobe Inc., San Jose, CA, USA & Adobe Research, San Jose, CA, USA
Graphic Design Generation LLM-based [Paper]
IGD: Instructional Graphic Design with Multimodal Layer Generation
Yadong Qu, Shancheng Fang, Yuxin Wang, Xiaorui Wang, Zhineng Chen, Hongtao Xie, Yongdong Zhang.
ICCV 2025, University of Science and Technology of China & YuanShi Technology & Institute of Trustworthy Embodied AI, Fudan University
Graphic Design Generation [Paper]
[Proceedings]
Rethinking Layered Graphic Design Generation with a Top-Down Approach
Jingye Chen, Zhaowen Wang, Nanxuan Zhao, Li Zhang, Difan Liu, Jimei Yang, Qifeng Chen.
ICCV 2025, HKUST & Adobe Research & Runway
Graphic Design Generation [Paper]
[Proceedings]
ReLayout: Integrating Relation Reasoning for Content-aware Layout Generation with Multi-modal Large Language Models
Jiaxu Tian, Xuehui Yu, Yaoxing Wang, Pan Wang, Guangqian Guo, Shan Gao.
arXiv 2025
Content-Aware LLM-based [Paper]
[Dataset]
DreamPoster: A Unified Framework for Image-Conditioned Generative Poster Design
Xiwei Hu, Haokun Chen, Zhongqi Qi, Hui Zhang, Dexiang Hong, Jie Shao, Xinglong Wu.
arXiv 2025
Graphic Design Generation [Paper]
[Project]
CAL-RAG: Retrieval-Augmented Multi-Agent Generation for Content-Aware Layout Design
Najmeh Forouzandehmehr, Reza Yousefi Maragheh, Sriram Kollipara, Kai Zhao, Topojoy Biswas, Evren Korpeoglu, Kannan Achan.
arXiv 2025, Walmart Global Tech
Content-Aware LLM-based [Paper]
CreatiPoster: Towards Editable and Controllable Multi-Layer Graphic Design Generation
Dexiang Hong, Zhao Zhang, Weidong Chen, Yutao Cheng, Maoke Yang, Gonglei Shi, Hui Zhang, Zhendong Mao.
arXiv 2025, University of Science and Technology of China, Hefei, China & Intelligent Creation & Fudan University, Shanghai, China
Graphic Design Generation [Paper]
[Github]
SlideCoder: Layout-aware RAG-enhanced Hierarchical Slide Generation from Design
Wenxin Tang, Jingyu Xiao, Wenxuan Jiang, Xi Xiao, Yuhang Wang, Xuxin Tang, Qing Li, Yuehe Ma, Junliang Liu, Shisong Tang, Michael R. Lyu.
arXiv 2025, Tsinghua University & The Chinese University of Hong Kong & Northeastern University & Southwest University & Kuaishou Technology & Peng Cheng Laboratory & BNU-HKBU United International College & Dalian Maritime University
Scientific Poster / Slide Generation LLM-based [Paper]
[Github]
LayoutRAG: Retrieval-Augmented Model for Content-agnostic Conditional Layout Generation
Yuxuan Wu, Le Wang, Sanping Zhou, Mengnan Liu, Gang Hua, Haoxiang Li.
arXiv 2025, Xi’an Jiaotong University & Amazon.com, Inc & Pixocial Technology
Content-Agnostic [Paper]
Paper2Poster: Towards Multimodal Poster Automation from Scientific Papers
Wei Pang, Kevin Qinghong Lin, Xiangru Jian, Xi He, Philip H.S. Torr.
NeurIPS 2025, University of Waterloo & University of Oxford & Vector Institute
Scientific Poster / Slide Generation LLM-based [Paper]
[Proceedings]
[Github]
[Project]
Scan-and-Print: Patch-level Data Summarization and Augmentation for Content-aware Layout Generation in Poster Design
HsiaoYuan Hsu, Yuxin Peng.
arXiv 2025, Wangxuan Institute of Computer Technology, Peking University
Content-Aware [Paper]
[Project]
Aggregated Structural Representation with Large Language Models for Human-Centric Layout Generation
Jiongchao Jin, Shengchu Zhao, Dajun Chen, Wei Jiang, Yong Li.
arXiv 2025, Ant Group & Agency for Science, Technology and Research
Content-Agnostic LLM-based [Paper]
PosterO: Structuring Layout Trees to Enable Language Models in Generalized Content-Aware Layout Generation
HsiaoYuan Hsu, Yuxin Peng.
CVPR 2025, Wangxuan Institute of Computer Technology, Peking University
Content-Aware [Paper]
[Proceedings]
[Project]
Generating Animated Layouts as Structured Text Representations
Yeonsang Shin, Jihwan Kim, Yumin Song, Kyungseung Lee, Hyunhee Chung, Taeyoung Na.
CVPR 2025 Workshops (AI4CC), Seoul National University & SK telecom
Content-Agnostic [Paper]
[Project]
GraphicBench: A Planning Benchmark for Graphic Design with Language Agents
Dayeon Ki, Tianyi Zhou, Marine Carpuat, Gang Wu, Puneet Mathur, Viswanathan Swaminathan.
arXiv 2025, University of Maryland, College Park & Adobe Research
Dataset / Evaluation [Paper]
LayoutCoT: Unleashing the Deep Reasoning Potential of Large Language Models for Layout Generation
Hengyu Shi, Junhao Su, Tianyang Han, Junfeng Luo, Jialin Gao.
arXiv 2025, Meituan
Content-Agnostic LLM-based [Paper]
PosterMaker: Towards High-Quality Product Poster Generation with Accurate Text Rendering
Yifan Gao, Zihang Lin, Chuanbin Liu, Min Zhou, Tiezheng Ge, Bo Zheng, Hongtao Xie.
CVPR 2025, University of Science and Technology of China & Taobao & Tmall Group of Alibaba
Graphic Design Generation [Paper]
[Proceedings]
[Project]
From Fragment to One Piece: A Survey on AI-Driven Graphic Design
Xingxing Zou, Wen Zhang, Nanxuan Zhao.
arXiv 2025, The Hong Kong Polytechnic University & Snap Inc. & Adobe
Survey [Paper]
AesthetiQ: Enhancing Graphic Layout Design via Aesthetic-Aware Preference Alignment of Multi-modal Large Language Models
Sohan Patnaik, Rishabh Jain, Balaji Krishnamurthy, Mausoom Sarkar.
CVPR 2025, MDSR Adobe
Content-Aware LLM-based [Paper]
[Proceedings]
T-Stars-Poster: A Framework for Product-Centric Advertising Image Design
Hongyu Chen, Min Zhou, Jing Jiang, Jiale Chen, Yang Lu, Zihang Lin, Bo Xiao, Tiezheng Ge, Bo Zheng.
arXiv 2025, Alibaba Group, Beijing, China & Beijing University of Posts and Telecommunications, Beijing, China & Beijing, China
Graphic Design Generation [Paper]
[Github]
From Elements to Design: A Layered Approach for Automatic Graphic Design Composition
Jiawei Lin, Shizhao Sun, Danqing Huang, Ting Liu, Ji Li, Jiang Bian.
CVPR 2025
Graphic Design Generation [Paper]
[Proceedings]
SKE-Layout: Spatial Knowledge Enhanced Layout Generation with LLMs
Junsheng Wang, Nieqing Cao, Yan Ding, Mengying Xie, Fuqiang Gu, Chao Chen.
CVPR 2025
Content-Agnostic LLM-based [Paper]
[Proceedings]
Lay-Your-Scene: Natural Scene Layout Generation with Diffusion Transformers
Divyansh Srivastava, Xiang Zhang, He Wen, Chenru Wen, Zhuowen Tu.
ICCV 2025
Scene Layout Generation [Paper]
[Proceedings]
PlanGen: Towards Unified Layout Planning and Image Generation in Auto-Regressive Vision Language Models
Runze He, Bo Cheng, Yuhang Ma, Qingxiang Jia, Shanyuan Liu, Ao Ma, Xiaoyu Wu, Liebucha Wu, Dawei Leng, Yuhui Yin.
ICCV 2025
Graphic Design Generation LLM-based [Paper]
[Proceedings]
POSTA: A Go-to Framework for Customized Artistic Poster Generation
Haoyu Chen, Xiaojie Xu, Wenbo Li, Jingjing Ren, Tian Ye, Songhua Liu, Ying-Cong Chen, Lei Zhu, Xinchao Wang.
CVPR 2025, HKUST(Guangzhou) & CUHK & NUS & HKUST
LLM-based [Paper]
[Project]
[Proceedings]
Smaller But Better: Unifying Layout Generation with Smaller Large Language Models
Peirong Zhang, Jiaxin Zhang, Jiahuan Cao, Hongliang Li, Lianwen Jin.
arXiv 2025, South China University of Technology
Content-Agnostic LLM-based [Paper]
[Github]
Illuminating Spaces: Deep Reinforcement Learning and Laser-Wall Partitioning for Architectural Layout Generation
Reza Kakooee, Benjamin Dillenburger.
arXiv 2025, ETH Zurich
Content-Agnostic [Paper]
Problem Solved? Information Extraction Design Space for Layout-Rich Documents using LLMs
Gaye Colakoglu, Gürkan Solmaz, Jonathan Fürst.
arXiv 2025, Zurich University of Applied Sciences
layout-aware LLM-based [Paper]
[Github]
Spatial Information Integration in Small Language Models for Document Layout Generation and Classification
Pablo Melendez, Clemens Havas.
arXiv 2025, Salzburg University of Applied Sciences
Content-Agnostic LLM-based [Paper]
GLDesigner: Leveraging Multi-Modal LLMs as Designer for Enhanced Aesthetic Text Glyph Layouts
Junwen He, Yifan Wang, Lijun Wang, Huchuan Lu, Jun-Yan He, Chenyang Li, Hanyuan Chen, Jin-Peng Lan, Bin Luo, Yifeng Geng.
ACMMM 2025, Dalian University of Technology & Alibaba
[Paper]
Multimodal Markup Document Models for Graphic Design Completion
Kotaro Kikuchi, Naoto Inoue, Mayu Otani, Edgar Simo-Serra, Kota Yamaguchi.
ACMMM 2025, CyberAgent & Waseda University
Content-Aware [Paper]
[Project]
GlyphDraw2: Automatic Generation of Complex Glyph Posters with Diffusion Models and Large Language Models
Jian Ma, Yonglin Deng, Chen Chen, Haonan Lu, Zhenyu Yang.
AAAI 2025, OPPO AI Center & CUHK Shenzhen
LLM-based [Paper]
[Github]
2024
VASCAR: Content-Aware Layout Generation via Visual-Aware Self-Correction
Jiahao Zhang, Ryota Yoshihashi, Shunsuke Kitada, Atsuki Osanai, Yuta Nakashima.
arXiv 2024, Osaka University
Content-Aware LLM-based [Paper]
DogLayout: Denoising Diffusion GAN for Discrete and Continuous Layout Generation
Zhaoxing Gan, Guangnan Ye.
arXiv 2024, Fudan University
Content-Agnostic [Paper]
[Github]
Image-aware layout generation with user constraints for poster design
Chenchen Xu, Kaixin Han, Weiwei Xu.
The Visual Computer, Zhejiang University
Content-Aware [Paper]
Design Element Aware Poster Layout Generation
Yinan Li, Jia Chen, Yin Bai, Jia Cheng, Jun Lei.
CIKM 2024, Mtituan
Content-Aware [Paper]
Layout-Corrector: Alleviating Layout Sticking Phenomenon in Discrete Diffusion Model
Shoma Iwai, Atsuki Osanai, Shunsuke Kitada, Shinichiro Omachi.
ECCV 2024, Tohoku University & LY Corporation
Content-Agnostic [Paper]
[Project]
LTSim: Layout Transportation-based Similarity Measure for Evaluating Layout Generation
Mayu Otani, Naoto Inoue, Kotaro Kikuchi, Riku Togashi.
arXiv 2024, CyberAgent
Content-Agnostic [Paper]
LayoutDiT: Exploring Content-Graphic Balance in Layout Generation with Diffusion Transformer
Yu Li, Yifan Chen, Gongye Liu, Fei Yin, Qingyan Bai, Jie Wu, Hongfa Wang, Ruihang Chu, Yujiu Yang.
arXiv 2024, Tsinghua University & Tencent & HKUST
Content-Aware [Paper]
SciPostLayout: A Dataset for Layout Analysis and Layout Generation of Scientific Posters
Shohei Tanaka, Hao Wang, Yoshitaka Ushiku.
BMVC 2024, OMRON SINIC X Corporation & Waseda University
Content-Agnostic [Paper] [Github]
[Dataset]
Predicting Visual Attention in Graphic Design Documents
Souradeep Chakraborty, Zijun Wei, Conor Kelton, Seoyoung Ahn, Aruna Balasubramanian, Gregory J. Zelinsky, Dimitris Samaras.
arXiv 2024, Stony Brook University
[Paper]
Glyph-ByT5-v2: A Strong Aesthetic Baseline for Accurate Multilingual Visual Text Rendering
Zeyu Liu, Weicong Liang, Yiming Zhao, Bohan Chen, Lin Liang, Lijuan Wang, Ji Li, Yuhui Yuan.
arXiv 2024, Microsoft
[Paper]
[Project]
[Github]
OpenCOLE: Towards Reproducible Automatic Graphic Design Generation
Naoto Inoue, Kento Masui, Wataru Shimoda, Kota Yamaguchi.
CVPR 2024 Workshops, CyberAgent
[Paper]
[Github]
PosterLLaVa: Constructing a Unified Multi-modal Layout Generator with LLM
Tao Yang, Yingmin Luo, Zhongang Qi, Yang Wu, Ying Shan, Chang Wen Chen.
arXiv 2024, Tencent PCG
Content-Aware LLM-based [Paper]
[Project]
[Github]
CoLay: Controllable Layout Generation through Multi-conditional Latent Diffusion
Chin-Yi Cheng, Ruiqi Gao, Forrest Huang, Yang Li.
arXiv 2024, Google Research
Content-Agnostic [Paper]
Leveraging Human Revisions for Improving Text-to-Layout Models
Amber Xie, Chin-Yi Cheng, Forrest Huang, Yang Li.
arXiv 2024, Google Research
Content-Agnostic [Paper]
Automatic Layout Planning for Visually-Rich Documents with Instruction-Following Models
Wanrong Zhu, Jennifer Healey, Ruiyi Zhang, William Yang Wang, Tong Sun.
arXiv 2024, Adobe & UC Santa Barbara
LLM-based [Paper]
Graphic Design with Large Multimodal Model
Yutao Cheng, Zhao Zhang, Maoke Yang, Hui Nie, Chunyuan Li, Xinglong Wu, Jie Shao.
arXiv 2024, ByteDance & UCAS
LLM-based HLG [Paper]
[Github]
PosterLlama: Bridging Design Ability of Langauge Model to Contents-Aware Layout Generation
Jaejung Seol, Seojun Kim, Jaejun Yoo.
ECCV 2024, Ulsan National Institute of Science and Technology
LLM-based [Paper]
[Github-1]
[Github-2]
Constrained Layout Generation with Factor Graphs
Mohammed Haroon Dupty, Yanfei Dong, Sicong Leng, Guoji Fu, Yong Liang Goh, Wei Lu, Wee Sun Lee.
CVPR 2024, PayPal & National University of Singapore
[Paper]
LayoutFlow: Flow Matching for Layout Generation
Julian Jorge Andrade Guerreiro, Naoto Inoue, Kento Masui, Mayu Otani, Hideki Nakayama.
ECCV 2024, CyberAgent & The University of Tokyo
Content-Agnostic [Paper]
[Project]
[Github]
Glyph-ByT5: A Customized Text Encoder for Accurate Visual Text Rendering
Zeyu Liu, Weicong Liang, Zhanhao Liang, Chong Luo, Ji Li, Gao Huang, Yuhui Yuan.
ECCV 2024, Microsoft Research Asia & Tsinghua University
[Paper]
[Project]
[Github]
Visual Layout Composer: Image-Vector Dual Diffusion Model for Design Layout Generation
Mohammad Amin Shabani, Zhaowen Wang, Difan Liu, Nanxuan Zhao, Jimei Yang, Yasutaka Furukawa.
CVPR 2024, Adobe & Simon Fraser University
Content-Aware [Paper]
[Project]
Desigen: A Pipeline for Controllable Design Template Generation
Haohan Weng, Danqing Huang, Yu Qiao, Zheng Hu, Chin-Yew Lin, Tong Zhang, C. L. Philip Chen.
CVPR 2024, Microsoft Research Asia & South China University of Technology
[Paper]
[Github]
[Project]
Retrieval-Augmented Layout Transformer for Content-Aware Layout Generation
Daichi Horita, Naoto Inoue, Kotaro Kikuchi, Kota Yamaguchi, Kiyoharu Aizawa.
CVPR 2024(oral), CyberAgent & The University of Tokyo
Content-Aware [Paper]
[Project]
[Github]
LayoutNUWA: Revealing the Hidden Layout Expertise of Large Language Models
Zecheng Tang, Chenfei Wu, Juntao Li, Nan Duan.
ICLR 2024, Microsoft Research Asia & Soochow University
Content-Agnostic [Paper]
[Github]
Towards Aligned Layout Generation via Diffusion Model with Aesthetic Constraints
Jian Chen, Ruiyi Zhang, Yufan Zhou, Rajiv Jain, Zhiqiang Xu, Ryan Rossi, Changyou Chen.
ICLR 2024, Adobe Research & MBZUAI & University at Buffalo
Content-Agnostic [Paper]
[Github]
Spot the Error: Non-autoregressive Graphic Layout Generation with Wireframe Locator
Jieru Lin, Danqing Huang, Tiejun Zhao, Dechen Zhan, Chin-Yew Lin.
AAAI 2024, Microsoft Research & Harbin Institute of Technology
Content-Agnostic [Paper]
[Github]
Dolfin: Diffusion Layout Transformers without Autoencoder
Yilin Wang, Zeyuan Chen, Liangjun Zhong, Zheng Ding, Zhizhou Sha, Zhuowen Tu.
ECCV 2024, Tsinghua University & University of California, San Diego
Content-Agnostic [Paper]
LayoutDETR: Detection Transformer Is a Good Multimodal Layout Designer
Ning Yu, Chia-Chih Chen, Zeyuan Chen, Rui Meng, Gang Wu, Paul Josel, Juan Carlos Niebles, Caiming Xiong, Ran Xu.
ECCV 2024, Salesforce Research
Content-Aware [Paper]
[Github]
2023
COLE: A Hierarchical Generation Framework for Multi-Layered and Editable Graphic Design
Peidong Jia, Chenxuan Li, Yuhui Yuan, Zeyu Liu, Yichao Shen, Bohan Chen, Xingru Chen, Yinglin Zheng, Dong Chen, Ji Li, Xiaodong Xie, Shanghang Zhang, Baining Guo.
arXiv 2023, Microsoft Research Asia & Peking University
[Paper]
Relation-Aware Diffusion Model for Controllable Poster Layout Generation
Fengheng Li, An Liu, Wei Feng, Honghe Zhu, Yaoyu Li, Zheng Zhang, Jingjing Lv, Xin Zhu, Junjie Shen, Zhangang Lin, Jingping Shao.
CIKM 2023, JD & Nankai University
Content-Aware [Paper]
[Github]
[Dataset]
LayoutPrompter: Awaken the Design Ability of Large Language Models
Jiawei Lin, Jiaqi Guo, Shizhao Sun, Zijiang James Yang, Jian-Guang Lou, Dongmei Zhang.
NeurIPS 2023, Microsoft Research Asia & Shanghai Jiao Tong University
LLM-based [Paper]
[Github]
LayoutGPT: Compositional Visual Planning and Generation with Large Language Models
Weixi Feng, Wanrong Zhu, Tsu-jui Fu, Varun Jampani, Arjun Akula, Xuehai He, Sugato Basu, Xin Eric Wang, William Yang Wang.
NeurIPS 2023, Google & UC Santa Barbara
LLM-based [Paper]
[Project]
[Github]
DLT: Conditioned layout generation with Joint Discrete-Continuous Diffusion Layout Transformer
Elad Levi, Eli Brosh, Mykola Mykhailych, Meir Perez.
ICCV 2023, Wix.com
Content-Agnostic [Paper]
[Project]
[Github]
LayoutDiffusion: Improving Graphic Layout Generation by Discrete Diffusion Probabilistic Models
Junyi Zhang, Jiaqi Guo, Shizhao Sun, Jian-Guang Lou, Dongmei Zhang.
ICCV 2023, Microsoft Research Asia & Shanghai Jiao Tong University
Content-Agnostic [Paper]
[Github]
[Project]
A Parse-Then-Place Approach for Generating Graphic Layouts from Textual Descriptions
Jiawei Lin, Jiaqi Guo, Shizhao Sun, Weijiang Xu, Ting Liu.
ICCV 2023, Microsoft Research Asia & Shanghai Jiao Tong University
Content-Agnostic [Paper]
[Github]
Diffusion-based Document Layout Generation
Liu He, Yijuan Lu, John Corring, Dinei Florencio, Cha Zhang.
ICDAR 2023, Microsoft Cloud and AI & Purdue University
Content-Agnostic [Paper]
PLay: Parametrically Conditioned Layout Generation using Latent Diffusion
Chin-Yi Cheng, Forrest Huang, Gang Li, Yang Li.
ICML 2023, Google Research
Content-Agnostic [Paper]
PosterLayout: A New Benchmark and Approach for Content-aware Visual-Textual Presentation Layout
HsiaoYuan Hsu, Xiangteng He, Yuxin Peng, Hao Kong, Qing Zhang.
CVPR 2023, Meituan & Peking University
Content-Aware [Paper]
[Project]
[Github]
[Dataset1]
[Dataset2]
LayoutDM: Transformer-based diffusion model for layout generation
Shang Chai, Liansheng Zhuang, Fengying Yan.
CVPR 2023, University of Science and Technology of China & Tianjin University
Content-Agnostic [Paper]
LayoutDM: Discrete Diffusion Model for Controllable Layout Generation
Naoto Inoue, Kotaro Kikuchi, Edgar Simo-Serra, Mayu Otani, Kota Yamaguchi.
CVPR 2023, CyberAgent & Waseda University
Content-Agnostic [Paper]
[Project]
[Github]
LayoutFormer++: Conditional Graphic Layout Generation via Constraint Serialization and Decoding Space Restriction
Zhaoyun Jiang, Jiaqi Guo, Shizhao Sun, Huayu Deng, Zhongkai Wu, Vuksan Mijovic, Zijiang James Yang, Jian-Guang Lou, Dongmei Zhang.
CVPR 2023, Microsoft Research Asi & Xi’an Jiaotong University
Content-Agnostic [Paper]
[Github]
Towards Flexible Multi-modal Document Models
Naoto Inoue, Kotaro Kikuchi, Edgar Simo-Serra, Mayu Otani, Kota Yamaguchi.
CVPR 2023, CyberAgent & Waseda University
Content-Agnostic [Paper]
[Github]
Unifying Layout Generation with a Decoupled Diffusion Model
Mude Hui, Zhizheng Zhang, Xiaoyi Zhang, Wenxuan Xie, Yuwang Wang, Yan Lu.
CVPR 2023, Microsoft Research Asi & Xi’an Jiaotong University
Content-Agnostic [Paper]
Layout Generation as Intermediate Action Sequence Prediction
Huiting Yang, Danqing Huang, Chin-Yew Lin, Shengfeng He.
AAAI 2023, Microsoft Research Asia & South China University of Technology
Content-Agnostic [Paper]
[Github]
Machine Learning Model to Evaluate the Appropriateness of Layout for Automatic Generation of Graphic Design Works
Kohei Ishiyama, Taketoshi Ushiama.
IMCOM 2023, Kyushu University
Content-Agnostic [Paper]
2022
Geometry Aligned Variational Transformer for Image-conditioned Layout Generation
Yunning Cao, Ye Ma, Min Zhou, Chuanbin Liu, Hongtao Xie, Tiezheng Ge, Yuning Jiang.
ACMMM 2022, Alibaba Group & University of Science and Technology of China
Content-Aware [Paper]
BLT: Bidirectional Layout Transformer for Controllable Layout Generation
Xiang Kong, Lu Jiang, Huiwen Chang, Han Zhang, Yuan Hao, Haifeng Gong, Irfan Essa.
ECCV 2022, Google & Carnegie Mellon University
Content-Agnostic [Paper]
[Github]
[Project]
Composition-aware Graphic Layout GAN for Visual-textual Presentation Designs
Min Zhou, Chenchen Xu, Ye Ma, Tiezheng Ge, Yuning Jiang, Weiwei Xu.
IJCAI 2022, Alibaba Group & Zhejiang University
Content-Aware [Paper]
[Project]
[Github]
[Dataset]
Coarse-to-Fine Generative Modeling for Graphic Layouts
Zhaoyun Jiang, Shizhao Sun, Jihua Zhu, Jian-Guang Lou, Dongmei Zhang.
AAAI 2022, Microsoft Research Asia & Xi’an Jiaotong University
Content-Agnostic [Paper]
[Github]
Aesthetics++: Refining graphic designs by exploring design principles and human preference
Wenyuan Kong, Zhaoyun Jiang, Shizhao Sun, Zhuoning Guo, Weiwei Cui, Ting Liu, Jian-Guang Lou, and Dongmei Zhang.
TVCG 2022, Microsoft Research Asi & Peking University & Xi’an Jiaotong University
Content-Agnostic [Paper]
[Github]
2021
Constrained Graphic Layout Generation via Latent Optimization
Kotaro Kikuchi, Edgar Simo-Serra, Mayu Otani, Kota Yamaguchi.
ACMMM 2021, CyberAgent & Waseda University
Content-Agnostic [Paper]
[Github]
RUITE: Refining UI Layout Aesthetics Using Transformer Encoder
Soliha Rahman, Vinoth Pandian Sermuga Pandian, Matthias Jarke.
IUI 2021, RWTH Aachen University
[Paper]
[Github]
LayoutTransformer: Layout Generation and Completion with Self-attention
Kamal Gupta, Justin Lazarow, Alessandro Achille, Larry Davis, Vijay Mahadevan, Abhinav Shrivastava.
ICCV 2021, Amazon & University of Maryland
Content-Agnostic [Paper]
[Github]
CanvasVAE: Learning to Generate Vector Graphic Documents
Kota Yamaguchi.
ICCV 2021, CyberAgent
Content-Agnostic [Paper]
[Github]
[Dataset]
LayoutTransformer: Scene Layout Generation with Conceptual and Spatial Diversity
Cheng-Fu Yang, Wan-Cyuan Fan, Fu-En Yang, Yu-Chiang Frank Wang.
CVPR 2021, ASUS & National Taiwan University
Content-Agnostic [Paper]
[Github]
Variational Transformer Networks for Layout Generation
Diego Martin Arroyo, Janis Postels, Federico Tombari.
CVPR 2021, Google & ETH
Content-Agnostic [Paper]
Attribute-conditioned Layout GAN for Automatic Graphic Design
Jianan Li, Jimei Yang, Jianming Zhang, Chang Liu, Christina Wang, Tingfa Xu.
TVCG 2021, Adobe & Beijing Institute of Technology
Content-Agnostic [Paper]
2019-2020
READ: Recursive Autoencoders for Document Layout Generation
Akshay Gadi Patil, Omri Ben-Eliezer, Or Perel, Hadar Averbuch-Elor.
CVPRW 2020, Amazon & Simon Fraser University
Content-Agnostic [Paper]
Neural Design Network: Graphic Layout Generation with Constraints
Hsin-Ying Lee, Lu Jiang, Irfan Essa, Phuong B Le, Haifeng Gong, Ming-Hsuan Yang, Weilong Yang.
ECCV 2020, Google Research & University of California, Merced
Content-Agnostic [Paper]
Retrieve-Then-Adapt: Example-based Automatic Generation for Proportion-related Infographics
Chunyao Qian, Shizhao Sun, Weiwei Cui, Jian-Guang Lou, Haidong Zhang, Dongmei Zhang.
VIS 2020, Microsoft Research Asia
Content-Agnostic [Paper]
[Github]
Content-Aware Generative Modeling of Graphic Design Layouts
Xinru Zheng, Xiaotian Qiao, Ying Cao, Rynson W.H. Lau.
ACM TOG 2019 / SIGGRAPH 2019, City University of Hong Kong
Content-Aware [Paper]
[Project]
[Code]
[Dataset1]
[Dataset2]
[Dataset3]
LayoutVAE: Stochastic Scene Layout Generation From a Label Set
Akash Abdu Jyothi, Thibaut Durand, Jiawei He, Leonid Sigal, Greg Mori.
ICCV 2019, Borealis AI & Simon Fraser University & University of British Columbia
Content-Agnostic [Paper]
[Github]
LayoutGAN: Generating Graphic Layouts with Wireframe Discriminators
Jianan Li, Jimei Yang, Aaron Hertzmann, Jianming Zhang, Tingfa Xu.
ICLR 2019, Adobe & Beijing Institute of Technology
TPAMI 2020 (LayoutGAN: Synthesizing Graphic Layouts with Vector-Wireframe Adversarial Networks)
Content-Agnostic [ICLR_Paper1]
[ICLR_Paper2]
[TPAMI_Paper]
[Github-1]
[Github-2]
[Github-3]
Before
Automatic Generation of Visual-Textual Presentation Layout
Xuyong Yang, Tao Mei, Ying-Qing Xu, Yong Rui, Shipeng Li.
ACM ToMM 2016, Microsoft Research Asia & University of Science and Technology of China
[Paper]
DesignScape: Design with Interactive Layout Suggestions
Peter O’Donovan, Aseem Agarwala, Aaron Hertzmann.
CHI 2015, Adobe & the University of Toronto
[Paper]
[Project]
Learning Layouts for Single-Page Graphic Designs
Peter O’Donovan, Aseem Agarwala, Aaron Hertzmann.
TVCG 2014, Adobe & the University of Toronto
[Paper]
[Project]
Reference
https://github.com/JosephKJ/Awesome-Layout-Generators
https://github.com/huapohen/Awesome-Layout-Generation
https://github.com/Layout-Generation/layout-generation
https://github.com/microsoft/LayoutGeneration
https://github.com/jdily/awesome-layout-generation