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Generating aesthetic posters is more challenging than simple design images: it requires not only precise text rendering but also the seamless integration of abstract artistic content, striking layouts, and overall stylistic harmony.
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Ilya Loshchilov and Frank Hutter. 2017 · 2017
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Layoutgpt: Compositional visual planning and generation with large language models
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Sdxl: Improving latent diffusion models for high-resolution image synthesis
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Gemini: a family of highly capable multimodal models
Gemini Team, Rohan Anil, Sebastian Borgeaud, Jean-Baptiste Alayrac, Jiahui Yu, Radu Soricut, Johan Schalkwyk, Andrew M Dai, Anja Hauth, Katie Millican, et al · 2023
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Layoutdiffusion: Controllable diffusion model for layout-to-image generation. In Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition . 22490–22499
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Scaling rectified flow transformers for high-resolution image synthesis. In Forty-first International Conference on Machine Learning
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Black Forest Labs. FLUX. https://github.com/black-forest labs/flux. 2024
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OpenCOLE: Towards Reproducible Automatic Graphic Design Generation
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Diffusion model alignment using direct preference optimization. In Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition . 8228–8238
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Janus: Decoupling visual encoding for unified multimodal understanding and generation
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Show-o: One single transformer to unify multimodal understanding and generation
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InternVL2.5: Expanding Performance Boundaries of Open-Source Multimodal Models with Model, Data, and Test-Time Scaling
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Enhancing Compositional Text-to-Image Generation with Reliable Random Seeds
Shuangqi Li, Hieu Le, Jingyi Xu, and Mathieu Salzmann. 2024 · 2024
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Playground v3: Improving text-to-image alignment with deep-fusion large language models
Bingchen Liu, Ehsan Akhgari, Alexander Visheratin, Aleks Kamko, Linmiao Xu, Shivam Shrirao, Joao Souza, Suhail Doshi, and Daiqing Li. 2024a · 2024
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Glyph-ByT5-v2: A Strong Aesthetic Baseline for Accurate Multilingual Visual Text Rendering
Zeyu Liu, Weicong Liang, Yiming Zhao, Bohan Chen, Ji Li, and Yuhui Yuan. 2024b · 2024
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LayoutLLM: Layout Instruction Tuning with Large Language Models for Document Understanding. In Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition . 15630–15640
Chuwei Luo, Yufan Shen, Zhaoqing Zhu, Qi Zheng, Zhi Yu, and Cong Yao. 2024 · 2024
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Yiyang Ma, Xingchao Liu, Xiaokang Chen, Wen Liu, Chengyue Wu, Zhiyu Wu, Zizheng Pan, Zhenda Xie, Haowei Zhang, Liang Zhao, et al · 2024
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Posterllama: Bridging design ability of langauge model to contents-aware layout generation
Jaejung Seol, Seojun Kim, and Jaejun Yoo. 2024 · 2024
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Transfusion: Predict the next token and diffuse images with one multi-modal model
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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, and Xinchao Wang. 2025 · 2025
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Emerging Properties in Unified Multimodal Pretraining
Chaorui Deng, Deyao Zhu, Kunchang Li, Chenhui Gou, Feng Li, Zeyu Wang, Shu Zhong, Weihao Yu, Xiaonan Nie, Ziang Song, Guang Shi, and Haoqi Fan. 2025 · 2025
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PosterMaker: Towards High-Quality Product Poster Generation with Accurate Text Rendering
Yifan Gao, Zihang Lin, Chuanbin Liu, Min Zhou, Tiezheng Ge, Bo Zheng, and Hongtao Xie. 2025 · 2025
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InternVL3: Advancing Open-Source Multimodal Models with Native Multimodal Pretraining
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Shufan Li, Konstantinos Kallidromitis, Akash Gokul, Arsh Koneru, Yusuke Kato, Kazuki Kozuka, and Aditya Grover. 2025 · 2025
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DesignDiffusion: High-Quality Text-to-Design Image Generation with Diffusion Models
Zhendong Wang, Jianmin Bao, Shuyang Gu, Dong Chen, Wengang Zhou, and Houqiang Li. 2025 · 2025
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An Yang, Anfeng Li, Baosong Yang, Beichen Zhang, Binyuan Hui, Bo Zheng, Bowen Yu, Chang Gao, Chengen Huang, Chenxu Lv, et al · 2025
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