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Related papers: Aesthetic Text Logo Synthesis via Content-aware La…

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Real-world images usually contain vivid contents and rich textural details, which will complicate the manipulation on them. In this paper, we design a new framework based on content-aware synthesis to enhance content-aware image…

Graphics · Computer Science 2014-08-22 Weiming Dong , Fuzhang Wu , Yan Kong , Xing Mei , Tong-Yee Lee , Xiaopeng Zhang

Layout is important for graphic design and scene generation. We propose a novel Generative Adversarial Network, called LayoutGAN, that synthesizes layouts by modeling geometric relations of different types of 2D elements. The generator of…

Computer Vision and Pattern Recognition · Computer Science 2019-01-23 Jianan Li , Jimei Yang , Aaron Hertzmann , Jianming Zhang , Tingfa Xu

Textual image generation spans diverse fields like advertising, education, product packaging, social media, information visualization, and branding. Despite recent strides in language-guided image synthesis using diffusion models, current…

Computer Vision and Pattern Recognition · Computer Science 2024-05-22 Shubham Paliwal , Arushi Jain , Monika Sharma , Vikram Jamwal , Lovekesh Vig

We propose an auto-encoder architecture for multi-texture synthesis. The approach relies on both a compact encoder accounting for second order neural statistics and a generator incorporating adaptive periodic content. Images are embedded in…

Computer Vision and Pattern Recognition · Computer Science 2023-06-30 Pierrick Chatillon , Yann Gousseau , Sidonie Lefebvre

Automated content-aware layout generation -- the task of arranging visual elements such as text, logos, and underlays on a background canvas -- remains a fundamental yet under-explored problem in intelligent design systems. While recent…

Information Retrieval · Computer Science 2025-06-30 Najmeh Forouzandehmehr , Reza Yousefi Maragheh , Sriram Kollipara , Kai Zhao , Topojoy Biswas , Evren Korpeoglu , Kannan Achan

Large amounts of labeled data are urgently required for the training of robust text recognizers. However, collecting handwriting data of diverse styles, along with an immense lexicon, is considerably expensive. Although data synthesis is a…

Computer Vision and Pattern Recognition · Computer Science 2022-02-24 Canjie Luo , Yuanzhi Zhu , Lianwen Jin , Zhe Li , Dezhi Peng

Text-to-image diffusion models exhibit remarkable generative capabilities, but lack precise control over object counts and spatial arrangements. This work introduces a two-stage system to address these compositional limitations. The first…

Computer Vision and Pattern Recognition · Computer Science 2025-11-12 Jan-Hendrik Koch , Jonas Krumme , Konrad Gadzicki

Typical methods for text-to-image synthesis seek to design effective generative architecture to model the text-to-image mapping directly. It is fairly arduous due to the cross-modality translation. In this paper we circumvent this problem…

Computer Vision and Pattern Recognition · Computer Science 2020-07-14 Jiadong Liang , Wenjie Pei , Feng Lu

Graphic design is essential for visual communication with layouts being fundamental to composing attractive designs. Layout generation differs from pixel-level image synthesis and is unique in terms of the requirement of mutual relations…

Computer Vision and Pattern Recognition · Computer Science 2020-07-20 Hsin-Ying Lee , Lu Jiang , Irfan Essa , Phuong B Le , Haifeng Gong , Ming-Hsuan Yang , Weilong Yang

Layout is a fundamental component of any graphic design. Creating large varieties of plausible document layouts can be a tedious task, requiring numerous constraints to be satisfied, including local ones relating different semantic elements…

Computer Vision and Pattern Recognition · Computer Science 2020-04-20 Akshay Gadi Patil , Omri Ben-Eliezer , Or Perel , Hadar Averbuch-Elor

Layout generation is a task to synthesize a harmonious layout with elements characterized by attributes such as category, position, and size. Human designers experiment with the placement and modification of elements to create aesthetic…

Computer Vision and Pattern Recognition · Computer Science 2024-09-26 Shoma Iwai , Atsuki Osanai , Shunsuke Kitada , Shinichiro Omachi

Customization of text-to-image models enables users to insert new concepts or objects and generate them in unseen settings. Existing methods either rely on comparatively expensive test-time optimization or train encoders on single-image…

Computer Vision and Pattern Recognition · Computer Science 2025-10-14 Nupur Kumari , Xi Yin , Jun-Yan Zhu , Ishan Misra , Samaneh Azadi

In this paper, we propose a method for generating layouts for image-based advertisements by leveraging a Vision-Language Model (VLM). Conventional advertisement layout techniques have predominantly relied on saliency mapping to detect…

Computer Vision and Pattern Recognition · Computer Science 2025-12-16 Kei Yoshitake , Kento Hosono , Ken Kobayashi , Kazuhide Nakata

Thanks to the rapid development of diffusion models, unprecedented progress has been witnessed in image synthesis. Prior works mostly rely on pre-trained linguistic models, but a text is often too abstract to properly specify all the…

Computer Vision and Pattern Recognition · Computer Science 2023-08-15 Binbin Yang , Yi Luo , Ziliang Chen , Guangrun Wang , Xiaodan Liang , Liang Lin

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

Layout-aware text-to-image generation is a task to generate multi-object images that reflect layout conditions in addition to text conditions. The current layout-aware text-to-image diffusion models still have several issues, including…

Computer Vision and Pattern Recognition · Computer Science 2024-03-07 Takahiro Shirakawa , Seiichi Uchida

Video text spotting (VTS) aims to simultaneously localize, recognize and track text instances in videos. To address the limited recognition capability of end-to-end methods, recent methods track the zero-shot results of state-of-the-art…

Computer Vision and Pattern Recognition · Computer Science 2024-06-13 Hongen Liu , Di Sun , Jiahao Wang , Yi Liu , Gang Pan

Graphic design is an effective language for visual communication. Using complex composition of visual elements (e.g., shape, color, font) guided by design principles and aesthetics, design helps produce more visually-appealing content. The…

Human-Computer Interaction · Computer Science 2023-09-06 Danqing Huang , Jiaqi Guo , Shizhao Sun , Hanling Tian , Jieru Lin , Zheng Hu , Chin-Yew Lin , Jian-Guang Lou , Dongmei Zhang

Content-aware layout aims to arrange design elements appropriately on a given canvas to convey information effectively. Recently, the trend for this task has been to leverage large language models (LLMs) to generate layouts automatically,…

Computer Vision and Pattern Recognition · Computer Science 2025-07-09 Jiaxu Tian , Xuehui Yu , Yaoxing Wang , Pan Wang , Guangqian Guo , Shan Gao

We present an approach to synthesizing photographic images conditioned on semantic layouts. Given a semantic label map, our approach produces an image with photographic appearance that conforms to the input layout. The approach thus…

Computer Vision and Pattern Recognition · Computer Science 2017-08-01 Qifeng Chen , Vladlen Koltun