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Related papers: Design-o-meter: Towards Evaluating and Refining Gr…

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Readability criteria have been addressed as a measurement of the quality of graph visualizations. In this paper, we argue that readability criteria are necessary but not sufficient. We propose a new kind of criteria, namely faithfulness, to…

Computational Geometry · Computer Science 2018-11-02 Quan Hoang Nguyen , Peter Eades

Graphics design is important for various applications, including movie production and game design. To create a high-quality scene, designers usually need to spend hours in software like Blender, in which they might need to interleave and…

Computer Vision and Pattern Recognition · Computer Science 2024-08-06 Ian Huang , Guandao Yang , Leonidas Guibas

The growing adoption of Industrial Internet of Things (IIoT) technologies enables automated, real-time collection of manufacturing process data, unlocking new opportunities for data-driven product development. Current data-driven methods…

Machine Learning · Computer Science 2025-12-11 Jiahang Li , Lucas Cazzonelli , Jacqueline Höllig , Markus Doellken , Sven Matthiesen

Creating advertising images is often a labor-intensive and time-consuming process. Can we automatically generate such images using basic product information like a product foreground image, taglines, and a target size? Existing methods…

Computer Vision and Pattern Recognition · Computer Science 2025-08-29 Hongyu Chen , Min Zhou , Jing Jiang , Jiale Chen , Yang Lu , Zihang Lin , Bo Xiao , Tiezheng Ge , Bo Zheng

Vector graphics are widely used in digital art and valued by designers for their scalability and layer-wise topological properties. However, the creation and editing of vector graphics necessitate creativity and design expertise, leading to…

Computer Vision and Pattern Recognition · Computer Science 2023-09-22 Peiying Zhang , Nanxuan Zhao , Jing Liao

The first contribution of this paper is architecture of a multipurpose system, which delegates a range of object detection tasks to a classifier, applied in special grid positions of the tested image. The second contribution is Gray…

Computer Vision and Pattern Recognition · Computer Science 2013-12-10 Andrew Gleibman

Generative AI, specifically text-to-image models, have revolutionized interior architectural design by enabling the rapid translation of conceptual ideas into visual representations from simple text prompts. While generative AI can produce…

Human-Computer Interaction · Computer Science 2025-06-19 Richa Gupta , Alexander Htet Kyaw

Future communication systems are faced with increased demand for high capacity, dynamic bandwidth, reliability and heterogeneous traffic. To meet these requirements, networks have become more complex and thus require new design methods and…

Machine Learning · Computer Science 2021-08-16 Dativa K. Tizikara , Jonathan Serugunda , Andrew Katumba

Mechanical metamaterials utilize intricate architectural designs to achieve advanced properties beyond those of their bulk counterparts. Existing metamaterial designs often rely on design inspirations and extensive experimental and…

Video relighting offers immense creative potential and commercial value but is hindered by challenges, including the absence of an adequate evaluation metric, severe light flickering, and the degradation of fine-grained details during…

Computer Vision and Pattern Recognition · Computer Science 2026-02-02 Xiangrui Liu , Haoxiang Li , Yezhou Yang

AI Impact Assessments are only as good as the measures used to assess the impact of these systems. It is therefore paramount that we can justify our choice of metrics in these assessments, especially for difficult to quantify ethical and…

Computers and Society · Computer Science 2025-04-08 Stefan Buijsman , Herman Veluwenkamp

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

Significant research has provided robust task and evaluation languages for the analysis of exploratory visualizations. Unfortunately, these taxonomies fail when applied to communicative visualizations. Instead, designers often resort to…

Human-Computer Interaction · Computer Science 2020-09-16 Eytan Adar , Elsie Lee

Graph classification aims to categorize graphs based on their structural and attribute features, with applications in diverse fields such as social network analysis and bioinformatics. Among the methods proposed to solve this task, those…

Machine Learning · Computer Science 2025-07-23 Lucas Potin , Rosa Figueiredo , Vincent Labatut , Christine Largeron

Robots' behavior and performance are determined both by hardware and software. The design process of robotic systems is a complex journey that involves multiple phases. Throughout this process, the aim is to tackle various criteria…

Characterizing creativity in visualization design can lead to the design of more expressive representations and visualization authoring tools that prioritize human creativity. In this paper, we examine how creativity manifests itself in…

Human-Computer Interaction · Computer Science 2026-04-14 Tianwei Ma , Zinat Ara , Safwat Ali Khan , Fanny Chevalier , Niklas Elmqvist , Naimul Hoque

Using different methods for laying out a graph can lead to very different visual appearances, with which the viewer perceives different information. Selecting a "good" layout method is thus important for visualizing a graph. The selection…

Social and Information Networks · Computer Science 2017-10-13 Oh-Hyun Kwon , Tarik Crnovrsanin , Kwan-Liu Ma

Previous work in aesthetic categorization and explainability utilizes manual labeling and classification to explain aesthetic scores. These methods require a complex labeling process and are limited in size. Our proposed approach attempts…

Computer Vision and Pattern Recognition · Computer Science 2025-02-05 Max Lisaius , Scott Wehrwein

Information visualization significantly enhances human perception by graphically representing complex data sets. The variety of visualization designs makes it challenging to efficiently evaluate all possible designs catering to users'…

Methodology · Statistics 2020-04-07 Xiaoning Kang , Xiaoyu Chen , Ran Jin , Hao Wu , Xinwei Deng

Large Language Models (LLMs) have demonstrated impressive capabilities in understanding and generating codes. Due to these capabilities, many recent methods are proposed to automatically refine the codes with LLMs. However, we should…

Software Engineering · Computer Science 2024-10-31 Minju Seo , Jinheon Baek , Sung Ju Hwang