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Automatic generation of graphic designs has recently received considerable attention.
A survey of automated layout techniques for information presentations
Simon Lok and Steven Feiner · 2001
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Design principles for visual communication
Maneesh Agrawala, Wilmot Li, and Floraine Berthouzoz · 2011
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Automatic generation of visual-textual presentation layout
Xuyong Yang, Tao Mei, Ying-Qing Xu, Yong Rui, and Shipeng Li · 2016
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Modeling fonts in context: Font prediction on web designs
Nanxuan Zhao, Ying Cao, and Rynson WH Lau · 2018
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Visual font pairing
Shuhui Jiang, Zhaowen Wang, Aaron Hertzmann, Hailin Jin, and Yun Fu · 2019
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LayoutVAE: Stochastic scene layout generation from a label set
Akash Abdu Jyothi, Thibaut Durand, Jiawei He, Leonid Sigal, and Greg Mori · 2019
Earlier work this paper cites.
LayoutGAN: Generating graphic layouts with wireframe discriminators
Jianan Li, Jimei Yang, Aaron Hertzmann, Jianming Zhang, and Tingfa Xu · 2019
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Language models are few-shot learners
Tom Brown, Benjamin Mann, Nick Ryder, Melanie Subbiah, Jared D Kaplan, Prafulla Dhariwal, Arvind Neelakantan, Pranav Shyam, Girish Sastry, Amanda Askell, et al · 2020
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LayoutTransformer: Layout generation and completion with self-attention
Kamal Gupta, Alessandro Achille, Justin Lazarow, Larry Davis, Vijay Mahadevan, and Abhinav Shrivastava · 2021
Earlier work this paper cites.
Constrained graphic layout generation via latent optimization
Kotaro Kikuchi, Edgar Simo-Serra, Mayu Otani, and Kota Yamaguchi · 2021
Cited alongside, same era.
CanvasVAE: Learning to generate vector graphic documents
Kota Yamaguchi · 2021
Cited alongside, same era.
Infocolorizer: Interactive recommendation of color palettes for infographics
Lin-Ping Yuan, Ziqi Zhou, Jian Zhao, Yiqiu Guo, Fan Du, and Huamin Qu · 2021
Cited alongside, same era.
Cole: A hierarchical generation framework for graphic design
Peidong Jia, Chenxuan Li, Zeyu Liu, Yichao Shen, Xingru Chen, Yuhui Yuan, Yinglin Zheng, Dong Chen, Ji Li, Xiaodong Xie, et al · 2023
Cited alongside, same era.
LayoutFormer++: Conditional graphic layout generation via constraint serialization and decoding space restriction
Z. Jiang, J. Guo, S. Sun, H. Deng, Z. Wu, V. Mijovic, Z. Yang, J. Lou, and D. Zhang · 2023
Cited alongside, same era.
Llama 2: Open foundation and fine-tuned chat models
Hugo Touvron, Louis Martin, Kevin Stone, Peter Albert, Amjad Almahairi, Yasmine Babaei, Nikolay Bashlykov, Soumya Batra, Prajjwal Bhargava, Shruti Bhosale, et al · 2023
Later among the works it cites.
Layoutdiffusion: Improving graphic layout generation by discrete diffusion probabilistic models
Junyi Zhang, Jiaqi Guo, Shizhao Sun, Jian-Guang Lou, and Dongmei Zhang · 2023
Later among the works it cites.
https://github.com/damian0815/compel
Compel · 2024
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https://openai.com/dall-e-3
DALL-E3 · 2024
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https://github.com/deep-floyd/IF
Deepfloyd IF · 2024
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https://cdn.openai.com/contributions/gpt-4v.pdf
GPT-4(V) · 2024
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Generative colorization of structured mobile web pages
Kotaro Kikuchi, Naoto Inoue, Mayu Otani, Edgar Simo-Serra, and Kota Yamaguchi · 2023
Cited alongside, same era.
Autoposter: A highly automatic and content-aware design system for advertising poster generation
Jinpeng Lin, Min Zhou, Ye Ma, Yifan Gao, Chenxi Fei, Yangjian Chen, Zhang Yu, and Tiezheng Ge · 2023
Cited alongside, same era.
Visual instruction tuning
Haotian Liu, Chunyuan Li, Qingyang Wu, and Yong Jae Lee · 2023
Cited alongside, same era.
De-stijl: Facilitating graphics design with interactive 2d color palette recommendation
Xinyu Shi, Ziqi Zhou, Jing Wen Zhang, Ali Neshati, Anjul Kumar Tyagi, Ryan Rossi, Shunan Guo, Fan Du, and Jian Zhao · 2023
Cited alongside, same era.
LayoutDM: Discrete diffusion model for controllable layout generation
Naoto Inoue, Kotaro Kikuchi, Edgar Simo-Serra, Mayu Otani, and Kota Yamaguchi
Cited in the paper.
Towards flexible multi-modal document models
Naoto Inoue, Kotaro Kikuchi, Edgar Simo-Serra, Mayu Otani, and Kota Yamaguchi
Cited in the paper.
Multimodal color recommendation in vector graphic documents
Qianru Qiu, Xueting Wang, and Mayu Otani
Cited in the paper.
https://github.com/bghira/SimpleTuner
Simpletuner · 2024
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SDXL: Improving latent diffusion models for high-resolution image synthesis
Dustin Podell, Zion English, Kyle Lacey, Andreas Blattmann, Tim Dockhorn, Jonas Müller, Joe Penna, and Robin Rombach · 2024
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Towards diverse and consistent typography generation
Wataru Shimoda, Daichi Haraguchi, Seiichi Uchida, and Kota Yamaguchi · 2024
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