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Scientific posters are used to present the contributions of scientific papers effectively in a graphical format. However, creating a well-designed poster that efficiently summarizes the core of a paper is both labor-intensive and…

Computer Vision and Pattern Recognition · Computer Science 2024-07-30 Shohei Tanaka , Hao Wang , Yoshitaka Ushiku

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…

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

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

We present a systematic review on three comparative layouts (i.e., juxtaposition, superposition, and explicit-encoding) which are information visualization (InfoVis) layouts designed to support comparison tasks. For the last decade, these…

Human-Computer Interaction · Computer Science 2020-09-02 Sehi L'Yi , Jaemin Jo , Jinwook Seo

Product poster generation significantly optimizes design efficiency and reduces production costs. Prevailing methods predominantly rely on image-inpainting methods to generate clean background images for given products. Subsequently, poster…

Computer Vision and Pattern Recognition · Computer Science 2024-09-04 Zhaochen Li , Fengheng Li , Wei Feng , Honghe Zhu , Yaoyu Li , Zheng Zhang , Jingjing Lv , Junjie Shen , Zhangang Lin , Jingping Shao , Zhenglu Yang

It is common in graphic design humans visually arrange various elements according to their design intent and semantics. For example, a title text almost always appears on top of other elements in a document. In this work, we generate…

Computer Vision and Pattern Recognition · Computer Science 2021-08-03 Kotaro Kikuchi , Edgar Simo-Serra , Mayu Otani , Kota Yamaguchi

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

Modeling layout is an important first step for graphic design. Recently, methods for generating graphic layouts have progressed, particularly with Generative Adversarial Networks (GANs). However, the problem of specifying the locations and…

Computer Vision and Pattern Recognition · Computer Science 2020-09-14 Jianan Li , Jimei Yang , Jianming Zhang , Chang Liu , Christina Wang , Tingfa Xu

Recent years have witnessed the rise and success of pre-training techniques in visually-rich document understanding. However, most existing methods lack the systematic mining and utilization of layout-centered knowledge, leading to…

Computation and Language · Computer Science 2022-10-17 Qiming Peng , Yinxu Pan , Wenjin Wang , Bin Luo , Zhenyu Zhang , Zhengjie Huang , Teng Hu , Weichong Yin , Yongfeng Chen , Yin Zhang , Shikun Feng , Yu Sun , Hao Tian , Hua Wu , Haifeng Wang

Scientific posters play a vital role in academic communication by presenting ideas through visual summaries. Analyzing reading order and parent-child relations of posters is essential for building structure-aware interfaces that facilitate…

Computer Vision and Pattern Recognition · Computer Science 2026-04-14 Shohei Tanaka , Atsushi Hashimoto , Yoshitaka Ushiku

In this paper, we study the content-aware layout generation problem, which aims to automatically generate layouts that are harmonious with a given background image. Existing methods usually deal with this task with a single-step reasoning…

Computer Vision and Pattern Recognition · Computer Science 2025-10-20 Haoran Wang , Bo Zhao , Jinghui Wang , Hanzhang Wang , Huan Yang , Wei Ji , Hao Liu , Xinyan Xiao

Content-aware layout generation is a critical task in graphic design automation, focused on creating visually appealing arrangements of elements that seamlessly blend with a given background image. The variety of real-world applications…

Computer Vision and Pattern Recognition · Computer Science 2025-12-10 Zeyang Liu , Le Wang , Sanping Zhou , Yuxuan Wu , Xiaolong Sun , Gang Hua , Haoxiang Li

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

As the number of scientific papers continues to grow, there is a demand for approaches that can effectively convey research findings, with posters serving as a key medium for presenting paper contents. Poster layouts determine how…

Computer Vision and Pattern Recognition · Computer Science 2026-04-09 Shun Inadumi , Shohei Tanaka , Tosho Hirasawa , Atsushi Hashimoto , Koichiro Yoshino , Yoshitaka Ushiku

In recent years, the use of multi-modal pre-trained Transformers has led to significant advancements in visually-rich document understanding. However, existing models have mainly focused on features such as text and vision while neglecting…

Computation and Language · Computer Science 2023-08-16 Qiwei Li , Zuchao Li , Xiantao Cai , Bo Du , Hai Zhao

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

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

Designing visually appealing layouts for multimedia documents containing text, graphs and images requires a form of creative intelligence. Modelling the generation of layouts has recently gained attention due to its importance in aesthetics…

Computer Vision and Pattern Recognition · Computer Science 2023-01-18 David D. Nguyen , Surya Nepal , Salil S. Kanhere

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