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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…

人机交互 · 计算机科学 2023-09-06 Danqing Huang , Jiaqi Guo , Shizhao Sun , Hanling Tian , Jieru Lin , Zheng Hu , Chin-Yew Lin , Jian-Guang Lou , Dongmei Zhang

Recent advancements in artificial intelligence, such as computer vision and deep learning, have led to the emergence of numerous generative AI platforms, particularly for image generation. However, the application of AI-generated image…

人机交互 · 计算机科学 2024-06-21 Yuying Tang , Mariana Ciancia , Zhigang Wang , Ze Gao

Artificial Intelligence (AI) has been increasingly applied to creative domains, leading to the development of systems that collaborate with humans in design processes. In Graphic Design, integrating computational systems into co-creative…

人机交互 · 计算机科学 2025-11-25 Joana Rovira Martins , Pedro Martins , Ana Boavida

Artificial Intelligence significantly enhances the visual art industry by analyzing, identifying and generating digitized artistic images. This review highlights the substantial benefits of integrating geometric data into AI models,…

人工智能 · 计算机科学 2024-12-03 Mridula Vijendran , Jingjing Deng , Shuang Chen , Edmond S. L. Ho , Hubert P. H. Shum

Technological progress has persistently shaped the dynamics of human-machine interactions in task execution. In response to the advancements in Generative AI, this paper outlines a detailed study plan that investigates various human-AI…

人机交互 · 计算机科学 2024-02-13 Zijian Ding

We introduce GraphicDesignBench (GDB), the first comprehensive benchmark suite designed specifically to evaluate AI models on the full breadth of professional graphic design tasks. Unlike existing benchmarks that focus on natural-image…

计算机视觉与模式识别 · 计算机科学 2026-04-08 Adrienne Deganutti , Elad Hirsch , Haonan Zhu , Jaejung Seol , Purvanshi Mehta

Can we derive computational metrics to quantify visual creativity in drawings across intelligent agents, while accounting for inherent differences in technical skill and style? To answer this, we curate a novel dataset consisting of 1338…

人机交互 · 计算机科学 2025-02-11 Surabhi S Nath , Guiomar del Cuvillo y Schröder , Claire E. Stevenson

Artificial General Intelligence (AGI) has revolutionized numerous fields, yet its integration with graph data, a cornerstone in our interconnected world, remains nascent. This paper presents a pioneering survey on the emerging domain of…

人工智能 · 计算机科学 2023-11-29 Xiangguo Sun , Jiawen Zhang , Xixi Wu , Hong Cheng , Yun Xiong , Jia Li

The integration of generative AI in visual art has revolutionized not only how visual content is created but also how AI interacts with and reflects the underlying domain knowledge. This survey explores the emerging realm of diffusion-based…

人工智能 · 计算机科学 2024-08-23 Bingyuan Wang , Qifeng Chen , Zeyu Wang

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…

人机交互 · 计算机科学 2026-02-11 Yang Chen Lin , Chen-Ying Chen , Kai-Hsin Hou , Hung-Yu Chen , Po-Chih Kuo

Deep generative models have unlocked another profound realm of human creativity. By capturing and generalizing patterns within data, we have entered the epoch of all-encompassing Artificial Intelligence for General Creativity (AIGC).…

人工智能 · 计算机科学 2023-12-27 Hanqun Cao , Cheng Tan , Zhangyang Gao , Yilun Xu , Guangyong Chen , Pheng-Ann Heng , Stan Z. Li

Large-scale "pre-train and prompt learning" paradigms have demonstrated remarkable adaptability, enabling broad applications across diverse domains such as question answering, image recognition, and multimodal retrieval. This approach fully…

Professional designers work from client briefs that specify goals and constraints but often lack concrete design details. Translating these abstract requirements into visual designs poses a central challenge, yet existing tools address…

人机交互 · 计算机科学 2026-04-14 Kotaro Kikuchi , Nami Ogawa

Generative Artificial Intelligence (Generative AI) is a collection of AI technologies that can generate new information such as texts and images. With its strong capabilities, Generative AI has been actively studied in creative design…

人机交互 · 计算机科学 2025-02-04 Liuging Chen , Yaxuan Song , Jia Guo , Lingyun Sun , Peter Childs , Yuan Yin

Graphic design is crucial for conveying ideas and messages. Designers usually organize their work into objects, backgrounds, and vectorized text layers to simplify editing. However, this workflow demands considerable expertise. With the…

计算机视觉与模式识别 · 计算机科学 2025-07-09 Jingye Chen , Zhaowen Wang , Nanxuan Zhao , Li Zhang , Difan Liu , Jimei Yang , Qifeng Chen

To build AI that children can intuitively understand and benefit from, designers need a design grammar that serves their developmental needs. This paper bridges artificial intelligence design for children - an emerging field still defining…

人机交互 · 计算机科学 2025-11-14 Nomisha Kurian

Generative Artificial Intelligence (Generative AI) holds significant promise in reshaping interactive systems design, yet its potential across the four key phases of human-centered design remains underexplored. This article addresses this…

人机交互 · 计算机科学 2024-11-06 Marie Muehlhaus , Jürgen Steimle

Data visualization in the form of charts plays a pivotal role in data analysis, offering critical insights and aiding in informed decision-making. Automatic chart understanding has witnessed significant advancements with the rise of large…

计算与语言 · 计算机科学 2024-12-06 Kung-Hsiang Huang , Hou Pong Chan , Yi R. Fung , Haoyi Qiu , Mingyang Zhou , Shafiq Joty , Shih-Fu Chang , Heng Ji

Recently, ChatGPT, along with DALL-E-2 and Codex,has been gaining significant attention from society. As a result, many individuals have become interested in related resources and are seeking to uncover the background and secrets behind its…

人工智能 · 计算机科学 2023-03-09 Yihan Cao , Siyu Li , Yixin Liu , Zhiling Yan , Yutong Dai , Philip S. Yu , Lichao Sun

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…

人机交互 · 计算机科学 2026-02-10 Lena Hegemann , Xinyi Wen , Michael A. Hedderich , Tarmo Nurmi , Hariharan Subramonyam
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