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Related papers: AutoPoster: A Highly Automatic and Content-aware D…

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Product posters blend striking visuals with informative text to highlight the product and capture customer attention. However, crafting appealing posters and manually optimizing them based on online performance is laborious and…

Computer Vision and Pattern Recognition · Computer Science 2025-12-29 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

Creating advertising images is often a labor-intensive and time-consuming process. Can we automatically generate such images using basic product information like a product foreground image, taglines, and a target size? Existing methods…

Computer Vision and Pattern Recognition · Computer Science 2025-08-29 Hongyu Chen , Min Zhou , Jing Jiang , Jiale Chen , Yang Lu , Zihang Lin , Bo Xiao , Tiezheng Ge , Bo Zheng

Academic poster generation is a crucial yet challenging task in scientific communication, requiring the compression of long-context interleaved documents into a single, visually coherent page. To address this challenge, we introduce the…

Computer Vision and Pattern Recognition · Computer Science 2025-10-31 Wei Pang , Kevin Qinghong Lin , Xiangru Jian , Xi He , Philip Torr

We present iPoster, an interactive layout generation framework that empowers users to guide content-aware poster layout design by specifying flexible constraints. iPoster enables users to specify partial intentions within the intention…

Human-Computer Interaction · Computer Science 2026-04-01 Xudong Zhou , Jinyuan Liang , Qiuyi Guo , Guozheng Li

Poster generation is a significant task for a wide range of applications, which is often time-consuming and requires lots of manual editing and artistic experience. In this paper, we propose a novel data-driven framework, called…

Multimedia · Computer Science 2023-01-09 Chuhao Jin , Hongteng Xu , Ruihua Song , Zhiwu Lu

Text design is one of the most critical procedures in poster design, as it relies heavily on the creativity and expertise of humans to design text images considering the visual harmony and text-semantic. This study introduces TextPainter, a…

Computer Vision and Pattern Recognition · Computer Science 2023-08-15 Yifan Gao , Jinpeng Lin , Min Zhou , Chuanbin Liu , Hongtao Xie , Tiezheng Ge , Yuning Jiang

Graphic layout is essential in poster generation. Professionals often need to design different layouts for a product image, to ensure they meet specific user requirements. This paper focuses on utilizing a deep-learning model to…

Graphics · Computer Science 2026-05-15 Chenchen Xu , Kaixin Han , Weiwei Xu

Content-aware visual-textual presentation layout aims at arranging spatial space on the given canvas for pre-defined elements, including text, logo, and underlay, which is a key to automatic template-free creative graphic design. In…

Computer Vision and Pattern Recognition · Computer Science 2023-03-29 HsiaoYuan Hsu , Xiangteng He , Yuxin Peng , Hao Kong , Qing Zhang

Multi-agent systems built upon large language models (LLMs) have demonstrated remarkable capabilities in tackling complex compositional tasks. In this work, we apply this paradigm to the paper-to-poster generation problem, a practical yet…

Artificial Intelligence · Computer Science 2026-04-14 Zhilin Zhang , Xiang Zhang , Jiaqi Wei , Yiwei Xu , Chenyu You

Graphic design plays a crucial role in both commercial and personal contexts, yet creating high-quality, editable, and aesthetically pleasing graphic compositions remains a time-consuming and skill-intensive task, especially for beginners.…

Computer Vision and Pattern Recognition · Computer Science 2025-06-13 Zhao Zhang , Yutao Cheng , Dexiang Hong , Maoke Yang , Gonglei Shi , Lei Ma , Hui Zhang , Jie Shao , Xinglong Wu

Poster design is a critical medium for visual communication. Prior work has explored automatic poster design using deep learning techniques, but these approaches lack text accuracy, user customization, and aesthetic appeal, limiting their…

Graphics · Computer Science 2025-03-20 Haoyu Chen , Xiaojie Xu , Wenbo Li , Jingjing Ren , Tian Ye , Songhua Liu , Ying-Cong Chen , Lei Zhu , Xinchao Wang

Product posters, which integrate subject, scene, and text, are crucial promotional tools for attracting customers. Creating such posters using modern image generation methods is valuable, while the main challenge lies in accurately…

Computer Vision and Pattern Recognition · Computer Science 2025-04-10 Yifan Gao , Zihang Lin , Chuanbin Liu , Min Zhou , Tiezheng Ge , Bo Zheng , Hongtao Xie

We present DreamPoster, a Text-to-Image generation framework that intelligently synthesizes high-quality posters from user-provided images and text prompts while maintaining content fidelity and supporting flexible resolution and layout…

Computer Vision and Pattern Recognition · Computer Science 2025-07-08 Xiwei Hu , Haokun Chen , Zhongqi Qi , Hui Zhang , Dexiang Hong , Jie Shao , Xinglong Wu

Posters play a crucial role in marketing and advertising by enhancing visual communication and brand visibility, making significant contributions to industrial design. With the latest advancements in controllable T2I diffusion models,…

Computer Vision and Pattern Recognition · Computer Science 2025-02-13 Jian Ma , Yonglin Deng , Chen Chen , Nanyang Du , Haonan Lu , Zhenyu Yang

Recent advancements in the text-rendering capabilities of image generation models have made the end-to-end creation of graphic design content, such as posters, increasingly feasible. However, existing reward models fall short of accurately…

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. To…

Computer Vision and Pattern Recognition · Computer Science 2025-06-13 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

Researchers often summarize their work in the form of posters. Posters provide a coherent and efficient way to convey core ideas from scientific papers. Generating a good scientific poster, however, is a complex and time consuming cognitive…

Artificial Intelligence · Computer Science 2016-04-15 Yuting Qiang , Yanwei Fu , Yanwen Guo , Zhi-Hua Zhou , Leonid Sigal

Commercial-grade poster design demands the seamless integration of aesthetic appeal with precise, informative content delivery. Current automated poster generation systems face significant limitations, including incomplete design workflows,…

Computer Vision and Pattern Recognition · Computer Science 2026-01-08 Junle Liu , Peirong Zhang , Yuyi Zhang , Pengyu Yan , Hui Zhou , Xinyue Zhou , Fengjun Guo , Lianwen Jin

Product poster generation poses distinct challenges beyond general poster design, requiring both faithful preservation of product appearance and precise control over dense, multi-line text layouts. Prior methods typically adopt inpainting…

Computer Vision and Pattern Recognition · Computer Science 2026-05-12 Benlei Cui , Fangao Zeng , Weitao Jiang , Yuwen Zhai , Haiwen Hong , Longtao Huang , Hui Xue , Wenxiang Shang , Pipei Huang

Effective poster design requires rapidly capturing attention and clearly conveying messages. Inspired by the ``contrast effects'' principle, we propose ReContraster, the first training-free model to leverage regional contrast to make…

Computer Vision and Pattern Recognition · Computer Science 2026-04-14 Peixuan Zhang , Zijian Jia , Ziqi Cai , Shuchen Weng , Si Li , Boxin Shi
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