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Related papers: A Survey for Graphic Design Intelligence

200 papers

Charts are the dominant medium for visualizing data, discovering patterns and trends, and communicating data driven insights, yet designing them still requires expensive human effort and expertise, such as selecting appropriate chart types,…

Human-Computer Interaction · Computer Science 2026-05-19 Mohammed Afaan Ansari , Aniruddh Bansal , Tianyi Zhou

While generative AI enables high-fidelity UI generation from text prompts, users struggle to articulate design intent and evaluate or refine results-creating gulfs of execution and evaluation. To understand the information needed for UI…

Human-Computer Interaction · Computer Science 2026-02-10 Seokhyeon Park , Soohyun Lee , Eugene Choi , Hyunwoo Kim , Minkyu Kweon , Yumin Song , Jinwook Seo

In this work, we investigate automatic design composition from multimodal graphic elements. Although recent studies have developed various generative models for graphic design, they usually face the following limitations: they only focus on…

Computer Vision and Pattern Recognition · Computer Science 2024-12-30 Jiawei Lin , Shizhao Sun , Danqing Huang , Ting Liu , Ji Li , Jiang Bian

Reduced social connectedness increasingly poses a threat to mental health, life expectancy, and general well-being. Generative AI (GAI) technologies, such as large language models (LLMs) and image generation tools, are increasingly…

Human-Computer Interaction · Computer Science 2025-06-13 T. T. J. E. Arets , G. Perugia , M. Houben , W. A. IJsselsteijn

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, this specific task has received limited attention, often…

Computer Vision and Pattern Recognition · Computer Science 2025-08-05 Junwen He , Yifan Wang , Lijun Wang , Huchuan Lu , Jun-Yan He , Chenyang Li , Hanyuan Chen , Jin-Peng Lan , Bin Luo , Yifeng Geng

Generative AI often produces results misaligned with user intentions, for example, resolving ambiguous prompts in unexpected ways. Despite existing approaches to clarify intent, a major challenge remains: understanding and influencing AI's…

Human-Computer Interaction · Computer Science 2026-02-10 Lena Hegemann , Xinyi Wen , Michael A. Hedderich , Tarmo Nurmi , Hariharan Subramonyam

The rapid development of Artificial Intelligence (AI) requires developers and designers of AI systems to focus on the collaboration between humans and machines. AI explanations of system behavior and reasoning are vital for effective…

Human-Computer Interaction · Computer Science 2022-10-11 Ruben S. Verhagen , Siddharth Mehrotra , Mark A. Neerincx , Catholijn M. Jonker , Myrthe L. Tielman

Neuroaesthetics is an interdisciplinary field that brings together neuroscience, psychology, and the arts to explore how the human brain perceives and responds to visual beauty. This paper examines the neural mechanisms behind aesthetic…

Human-Computer Interaction · Computer Science 2025-07-17 Harish Vijayakumar

We examined the effectiveness of various human-AI collaboration designs on creative work. Through a human subjects experiment set in the context of creative writing, we found that while AI assistance improved productivity across all models,…

Human-Computer Interaction · Computer Science 2025-01-31 Kartik Hosanagar , Daehwan Ahn

Artificial Intelligence (AI) holds promise as a technology that can be used to improve government and economic policy-making. This paper proposes a new research agenda towards this end by introducing Social Environment Design, a general…

Artificial Intelligence · Computer Science 2024-06-18 Edwin Zhang , Sadie Zhao , Tonghan Wang , Safwan Hossain , Henry Gasztowtt , Stephan Zheng , David C. Parkes , Milind Tambe , Yiling Chen

Generative artificial intelligence (GenAI), including large language models, diffusion-based image generation models, and GenAI agents, has provided new opportunities for advancements in mapping and cartography. Due to their characteristics…

Human-Computer Interaction · Computer Science 2025-08-13 Yuhao Kang , Chenglong Wang

This paper explores the potential of AI-powered tools to reshape data analysis, focusing on design considerations and challenges. We explore how the emergence of large language and multimodal models offers new opportunities to enhance…

Artificial Intelligence · Computer Science 2024-09-30 Jeevana Priya Inala , Chenglong Wang , Steven Drucker , Gonzalo Ramos , Victor Dibia , Nathalie Riche , Dave Brown , Dan Marshall , Jianfeng Gao

Architectural design is a highly complex practice that involves a wide diversity of disciplines, technologies, proprietary design software, expertise, and an almost infinite number of constraints, across a vast array of design tasks.…

Computation and Language · Computer Science 2023-05-04 Theodoros Galanos , Antonios Liapis , Georgios N. Yannakakis

Creative workflows for generating graphical documents involve complex inter-related tasks, such as aligning elements, choosing appropriate fonts, or employing aesthetically harmonious colors. In this work, we attempt at building a holistic…

Computer Vision and Pattern Recognition · Computer Science 2023-04-03 Naoto Inoue , Kotaro Kikuchi , Edgar Simo-Serra , Mayu Otani , Kota Yamaguchi

Graphical User Interface (GUI) agents, powered by Large Foundation Models, have emerged as a transformative approach to automating human-computer interaction. These agents autonomously interact with digital systems or software applications…

Visual representations are becoming important in science communication and education. This explorative study investigates the perception of STEM researchers, without any specific visual design background, and the value of visual…

Human-Computer Interaction · Computer Science 2021-06-22 Matteo Zallio

Fashion is the way we present ourselves to the world and has become one of the world's largest industries. Fashion, mainly conveyed by vision, has thus attracted much attention from computer vision researchers in recent years. Given the…

Computer Vision and Pattern Recognition · Computer Science 2021-01-29 Wen-Huang Cheng , Sijie Song , Chieh-Yun Chen , Shintami Chusnul Hidayati , Jiaying Liu

From photorealistic sketches to schematic diagrams, drawing provides a versatile medium for communicating about the visual world. How do images spanning such a broad range of appearances reliably convey meaning? Do viewers understand…

Computer Vision and Pattern Recognition · Computer Science 2021-09-29 Robert D. Hawkins , Megumi Sano , Noah D. Goodman , Judith E. Fan

Interior design often struggles to capture the subtleties of client experience, leaving gaps between what clients feel and what designers can act upon. We present AIDED, a designer-AI co-design workflow that integrates multimodal client…

Human-Computer Interaction · Computer Science 2026-02-11 Yang Chen Lin , Chen-Ying Chen , Kai-Hsin Hou , Hung-Yu Chen , Po-Chih Kuo

Probabilistic graphical models combine the graph theory and probability theory to give a multivariate statistical modeling. They provide a unified description of uncertainty using probability and complexity using the graphical model.…

Machine Learning · Statistics 2011-11-30 Yang Zhou
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