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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

Graphic design is a creative and innovative process that plays a crucial role in applications such as e-commerce and advertising. However, developing an automated design system that can faithfully translate user intentions into editable…

Computer Vision and Pattern Recognition · Computer Science 2026-03-27 Xincheng Shuai , Song Tang , Yutong Huang , Henghui Ding , Dacheng Tao

Generative AI models offer many possibilities for text creation and transformation. Current graphical user interfaces (GUIs) for prompting them lack support for iterative exploration, as they do not represent prompts as actionable interface…

Human-Computer Interaction · Computer Science 2025-03-28 Rifat Mehreen Amin , Oliver Hans Kühle , Daniel Buschek , Andreas Butz

Generative AI promises to allow people to create high-quality personalized media. Although powerful, we identify three fundamental design problems with existing tooling through a literature review. We introduce a multimodal generative AI…

Human-Computer Interaction · Computer Science 2025-06-23 Gregory Croisdale , Emily Huang , John Joon Young Chung , Anhong Guo , Xu Wang , Austin Z. Henley , Cyrus Omar

Lifestyle images are photographs that capture environments and objects in everyday settings. In furniture product marketing, advertisers often create lifestyle images containing products to resonate with potential buyers, allowing buyers to…

Computer Vision and Pattern Recognition · Computer Science 2026-03-17 Jialu Gao , Mithun Das Gupta , Qun Li , Raveena Kshatriya , Andrew D. Wilson , Keng-hao Chang , Balasaravanan Thoravi Kumaravel

High-fidelity diagram creation requires the complex orchestration of semantic topology, visual styling, and spatial layout, posing a significant challenge for automated systems. Existing methods also suffer from a representation gap:…

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

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

People often create art by following an artistic workflow involving multiple stages that inform the overall design. If an artist wishes to modify an earlier decision, significant work may be required to propagate this new decision forward…

Computer Vision and Pattern Recognition · Computer Science 2020-07-15 Hung-Yu Tseng , Matthew Fisher , Jingwan Lu , Yijun Li , Vladimir Kim , Ming-Hsuan Yang

Generative AI tools are becoming more prevalent in 3D modeling, enabling users to manipulate or create new models with text or images as inputs. This makes it easier for users to rapidly customize and iterate on their 3D designs and explore…

Human-Computer Interaction · Computer Science 2024-04-18 Faraz Faruqi , Yingtao Tian , Vrushank Phadnis , Varun Jampani , Stefanie Mueller

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

Text-based prompting remains the predominant interaction paradigm in generative AI, yet it often introduces friction for novice users such as small business owners (SBOs), who struggle to articulate creative goals in domain-specific…

Human-Computer Interaction · Computer Science 2025-04-23 Nimisha Karnatak , Adrien Baranes , Rob Marchant , Huinan Zeng , Tríona Butler , Kristen Olson

Generative Artificial Intelligence (GAI) offers new opportunities for reconstructing these unrecorded memory scenes, yet existing web-based tools undermine users' sense of agency through disengaging and unpredictable interactions. In this…

Human-Computer Interaction · Computer Science 2026-03-16 Zhou Fang , Janet Yi-Ching Huang

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

Design inspiration is crucial for establishing the direction of a design as well as evoking feelings and conveying meanings during the conceptual design process. Many practice designers use text-based searches on platforms like Pinterest to…

Human-Computer Interaction · Computer Science 2024-07-18 Ye Wang , Nicole B. Damen , Thomas Gale , Voho Seo , Hooman Shayani

Generative AI has enabled novice designers to quickly create professional-looking visual representations for product concepts. However, novices have limited domain knowledge that could constrain their ability to write prompts that…

Human-Computer Interaction · Computer Science 2026-03-30 Sirui Tao , Ivan Liang , Cindy Peng , Zhiqing Wang , Srishti Palani , Steven P. Dow

Recent large-scale generative models learned on big data are capable of synthesizing incredible images yet suffer from limited controllability. This work offers a new generation paradigm that allows flexible control of the output image,…

Computer Vision and Pattern Recognition · Computer Science 2023-02-23 Lianghua Huang , Di Chen , Yu Liu , Yujun Shen , Deli Zhao , Jingren Zhou

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

In this work, we introduce StageDesigner, the first comprehensive framework for artistic stage generation using large language models combined with layout-controlled diffusion models. Given the professional requirements of stage…

Computer Vision and Pattern Recognition · Computer Science 2025-03-05 Zhaoxing Gan , Mengtian Li , Ruhua Chen , Zhongxia Ji , Sichen Guo , Huanling Hu , Guangnan Ye , Zuo Hu

MetaDesigner introduces a transformative framework for artistic typography synthesis, powered by Large Language Models (LLMs) and grounded in a user-centric design paradigm. Its foundation is a multi-agent system comprising the Pipeline,…