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Related papers: iPoster: Content-Aware Layout Generation for Inter…

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We propose a new generative model for layout generation. We generate layouts in three steps. First, we generate the layout elements as nodes in a layout graph. Second, we compute constraints between layout elements as edges in the layout…

Computer Vision and Pattern Recognition · Computer Science 2020-11-30 Wamiq Para , Paul Guerrero , Tom Kelly , Leonidas Guibas , Peter Wonka

Despite the success of generating high-quality images given any text prompts by diffusion-based generative models, prior works directly generate the entire images, but cannot provide object-wise manipulation capability. To support wider…

Computer Vision and Pattern Recognition · Computer Science 2024-03-19 Runhui Huang , Kaixin Cai , Jianhua Han , Xiaodan Liang , Renjing Pei , Guansong Lu , Songcen Xu , Wei Zhang , Hang Xu

This paper addresses the challenge of object-centric layout generation under spatial constraints, seen in multiple domains including floorplan design process. The design process typically involves specifying a set of spatial constraints…

Computer Vision and Pattern Recognition · Computer Science 2024-04-02 Mohammed Haroon Dupty , Yanfei Dong , Sicong Leng , Guoji Fu , Yong Liang Goh , Wei Lu , Wee Sun Lee

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

GUI (graphical user interface) prototyping is a widely-used technique in requirements engineering for gathering and refining requirements, reducing development risks and increasing stakeholder engagement. However, GUI prototyping can be a…

Software Engineering · Computer Science 2023-10-05 Jialiang Wei , Anne-Lise Courbis , Thomas Lambolais , Binbin Xu , Pierre Louis Bernard , Gérard Dray

We address the problem of scene layout generation for diverse domains such as images, mobile applications, documents, and 3D objects. Most complex scenes, natural or human-designed, can be expressed as a meaningful arrangement of simpler…

Computer Vision and Pattern Recognition · Computer Science 2021-10-01 Kamal Gupta , Justin Lazarow , Alessandro Achille , Larry Davis , Vijay Mahadevan , Abhinav Shrivastava

Diffusion models have made significant strides in language-driven and layout-driven image generation. However, most diffusion models are limited to visible RGB image generation. In fact, human perception of the world is enriched by diverse…

Computer Vision and Pattern Recognition · Computer Science 2024-10-22 Zeyu Wang , Jingyu Lin , Yifei Qian , Yi Huang , Shicen Tian , Bosong Chai , Juncan Deng , Qu Yang , Lan Du , Cunjian Chen , Kejie Huang

Conditional graphic layout generation, which generates realistic layouts according to user constraints, is a challenging task that has not been well-studied yet. First, there is limited discussion about how to handle diverse user…

Computer Vision and Pattern Recognition · Computer Science 2023-03-27 Zhaoyun Jiang , Jiaqi Guo , Shizhao Sun , Huayu Deng , Zhongkai Wu , Vuksan Mijovic , Zijiang James Yang , Jian-Guang Lou , Dongmei Zhang

Large-scale text-to-image models that can generate high-quality and diverse images based on textual prompts have shown remarkable success. These models aim ultimately to create complex scenes, and addressing the challenge of multi-subject…

Computer Vision and Pattern Recognition · Computer Science 2024-05-03 Barak Battash , Amit Rozner , Lior Wolf , Ofir Lindenbaum

Text logo design heavily relies on the creativity and expertise of professional designers, in which arranging element layouts is one of the most important procedures. However, few attention has been paid to this task which needs to take…

Computer Vision and Pattern Recognition · Computer Science 2022-04-07 Yizhi Wang , Guo Pu , Wenhan Luo , Yexin Wang , Pengfei Xiong , Hongwen Kang , Zhouhui Lian

Text-to-image diffusion generative models can generate high quality images at the cost of tedious prompt engineering. Controllability can be improved by introducing layout conditioning, however existing methods lack layout editing ability…

Computer Vision and Pattern Recognition · Computer Science 2024-11-19 Alessandro Fontanella , Petru-Daniel Tudosiu , Yongxin Yang , Shifeng Zhang , Sarah Parisot

Image composition involves seamlessly integrating given objects into a specific visual context. Current training-free methods rely on composing attention weights from several samplers to guide the generator. However, since these weights are…

Computer Vision and Pattern Recognition · Computer Science 2024-08-21 Yibin Wang , Weizhong Zhang , Jianwei Zheng , Cheng Jin

In layout-to-image (L2I) synthesis, controlled complex scenes are generated from coarse information like bounding boxes. Such a task is exciting to many downstream applications because the input layouts offer strong guidance to the…

Computer Vision and Pattern Recognition · Computer Science 2025-03-18 Ruyu Wang , Xuefeng Hou , Sabrina Schmedding , Marco F. Huber

Recently, text-to-image models based on diffusion have achieved remarkable success in generating high-quality images. However, the challenge of personalized, controllable generation of instances within these images remains an area in need…

Computer Vision and Pattern Recognition · Computer Science 2024-11-26 Fan Deng , Yaguang Wu , Xinyang Yu , Xiangjun Huang , Jian Yang , Guangyu Yan , Qiang Xu

Text-driven image generation using diffusion models has recently gained significant attention. To enable more flexible image manipulation and editing, recent research has expanded from single image generation to transparent layer generation…

Computer Vision and Pattern Recognition · Computer Science 2025-03-18 Junjia Huang , Pengxiang Yan , Jinhang Cai , Jiyang Liu , Zhao Wang , Yitong Wang , Xinglong Wu , Guanbin Li

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

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

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

3D content creation has long been a complex and time-consuming process, often requiring specialized skills and resources. While recent advancements have allowed for text-guided 3D object and scene generation, they still fall short of…

Computer Vision and Pattern Recognition · Computer Science 2024-08-06 Xingyi Li , Yizheng Wu , Jun Cen , Juewen Peng , Kewei Wang , Ke Xian , Zhe Wang , Zhiguo Cao , Guosheng Lin

Layout design is an important task in various design fields, including user interface, document, and graphic design. As this task requires tedious manual effort by designers, prior works have attempted to automate this process using…

Machine Learning · Computer Science 2023-06-22 Chin-Yi Cheng , Forrest Huang , Gang Li , Yang Li
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