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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…

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

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

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

Layout generation is the keystone in achieving automated graphic design, requiring arranging the position and size of various multi-modal design elements in a visually pleasing and constraint-following manner. Previous approaches are either…

Computer Vision and Pattern Recognition · Computer Science 2024-11-27 Tao Yang , Yingmin Luo , Zhongang Qi , Yang Wu , Ying Shan , Chang Wen Chen

Automating scientific poster generation requires hierarchical document understanding and coherent content-layout planning. Existing methods often rely on flat summarization or optimize content and layout separately. As a result, they often…

Artificial Intelligence · Computer Science 2026-04-24 Jiho Choi , Seojeong Park , Seongjong Song , Hyunjung Shim

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

Visual layout plays a critical role in graphic design fields such as advertising, posters, and web UI design. The recent trend towards content-aware layout generation through generative models has shown promise, yet it often overlooks the…

Computer Vision and Pattern Recognition · Computer Science 2024-07-30 Jaejung Seol , Seojun Kim , Jaejun Yoo

Advertising posters, a form of information presentation, combine visual and linguistic modalities. Creating a poster involves multiple steps and necessitates design experience and creativity. This paper introduces AutoPoster, a highly…

Computer Vision and Pattern Recognition · Computer Science 2023-08-24 Jinpeng Lin , Min Zhou , Ye Ma , Yifan Gao , Chenxi Fei , Yangjian Chen , Zhang Yu , Tiezheng Ge

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

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

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

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

Image-to-poster generation is a high-demand task requiring not only local adjustments but also high-level design understanding. Models must generate text, layout, style, and visual elements while preserving semantic fidelity and aesthetic…

Computer Vision and Pattern Recognition · Computer Science 2026-02-13 Sixiang Chen , Jianyu Lai , Jialin Gao , Hengyu Shi , Zhongying Liu , Tian Ye , Junfeng Luo , Xiaoming Wei , Lei Zhu

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

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

Automated academic poster generation aims to distill lengthy research papers into concise, visually coherent presentations. Existing Multimodal Large Language Models (MLLMs) based approaches, however, suffer from three critical limitations:…

Computer Vision and Pattern Recognition · Computer Science 2026-03-03 Wenxin Tang , Jingyu Xiao , Yanpei Gong , Fengyuan Ran , Tongchuan Xia , Junliang Liu , Man Ho Lam , Wenxuan Wang , Michael R. Lyu

Generating accurate and concise textual summaries from multimodal documents is challenging, especially when dealing with visually complex content like scientific posters. We introduce PosterSum, a novel benchmark to advance the development…

Computer Vision and Pattern Recognition · Computer Science 2025-02-26 Rohit Saxena , Pasquale Minervini , Frank Keller

Graphic design forms the cornerstone of modern visual communication, serving as a vital medium for promoting cultural and commercial events. Recent advances have explored automating this process using Large Multimodal Models (LMMs), yet…

Computer Vision and Pattern Recognition · Computer Science 2025-12-04 Jiazhe Wei , Ken Li , Tianyu Lao , Haofan Wang , Liang Wang , Caifeng Shan , Chenyang Si

In poster design, content-aware layout generation is crucial for automatically arranging visual-textual elements on the given image. With limited training data, existing work focused on image-centric enhancement. However, this neglects the…

Graphics · Computer Science 2025-05-28 HsiaoYuan Hsu , Yuxin Peng
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