IEEE Computer Graphics and Applications最新文献_第4页

What Can Visualization Research Do for Climate? A Workshop Report. 可视化研究能为气候做些什么？研讨会报告。

IF 1.4 4区计算机科学

IEEE Computer Graphics and Applications Pub Date : 2025-07-01 DOI: 10.1109/MCG.2025.3566453

Helen-Nicole Kostis, Benjamin Bach, Fanny Chevalier, Mark SubbaRao, Yvonne Jansen, Robert Soden, Theresa-Marie Rhyne

引用次数: 0

Topology-Based Visualization Techniques for Scientific Data Exploration. 科学数据探索的基于拓扑的可视化技术。

IF 1.4 4区计算机科学

IEEE Computer Graphics and Applications Pub Date : 2025-07-01 DOI: 10.1109/MCG.2025.3541464

Lin Yan, Sumanta N Pattanaik

{"title":"Topology-Based Visualization Techniques for Scientific Data Exploration.","authors":"Lin Yan, Sumanta N Pattanaik","doi":"10.1109/MCG.2025.3541464","DOIUrl":"10.1109/MCG.2025.3541464","url":null,"abstract":"Data visualization provides intuitive and practical tools for information exploration and scientific discovery. However, with the increased availability of computing resources and sensing devices, data's ever-increasing size and complexity pose fundamental challenges to existing visualization techniques. The first challenge is data understanding, requiring new methodologies to extract key features and insights from large-scale data. Second, the development of data transmission and storage systems is outpaced by unprecedented data growth. This disparity challenges in situ data processing since data need to be transferred to a commodity workstation to conduct interactive inspections. Third, visualization tools and methodologies for understanding the uncertainties of scientific simulations are lacking. The author's research aims to address these challenges by significantly enriching topology-based visualization methodologies and tools for scientific data exploration. The author's dissertation (Yan, 2022) made advances in three areas: redefining topology for domain-specific features for data understanding, enhancing data reduction with topology for data transmission and storage, and developing methodologies for statistical feature analysis to mitigate uncertainty in data visualization. These methodologies and tools have applications in structural biology, climate science, combustion study, and neuroscience.","PeriodicalId":55026,"journal":{"name":"IEEE Computer Graphics and Applications","volume":"45 4","pages":"89-98"},"PeriodicalIF":1.4,"publicationDate":"2025-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144805270","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

"Paths in Education": A Case Study on Integrating Statistical Data and Qualitative Narratives Using Data Visualization. “教育之路”：利用数据可视化整合统计数据与定性叙述的个案研究。

IF 1.4 4区计算机科学

IEEE Computer Graphics and Applications Pub Date : 2025-07-01 DOI: 10.1109/MCG.2025.3565890

Paula Lago, Stuart King

引用次数: 0

From Exploration to Critique: Catalyzing Critical Inquiry With Cultural Collection Visualizations. 从探索到批判：用文化收藏可视化催化批判性探究。

IF 1.4 4区计算机科学

IEEE Computer Graphics and Applications Pub Date : 2025-07-01 DOI: 10.1109/MCG.2025.3559769

Florian Windhager, Eva Mayr, Katrin Glinka

{"title":"From Exploration to Critique: Catalyzing Critical Inquiry With Cultural Collection Visualizations.","authors":"Florian Windhager, Eva Mayr, Katrin Glinka","doi":"10.1109/MCG.2025.3559769","DOIUrl":"10.1109/MCG.2025.3559769","url":null,"abstract":"This article examines whether visualizations in cultural heritage fields can move beyond their traditional roles of exploration and analysis to facilitate higher order cognitive processes central to the practice of \"critique.\" Drawing on arts and humanities perspectives, we define critical cognition as a mode of inquiry that explores and evaluates the potentiality of cultural objects and topics-and interrogates the associated representation and research systems that shape them-against the background of their actual state. We propose a framework for thinking about the critical potential of visualization systems and outline design strategies that enhance critical cognition and encourage responsive action. To that end, we examine multiple system components, including culture and context, collection practices, digital modeling, visualization, and research practices. We argue that by incorporating critical perspectives on these system components into interface design, we can empower users, foster more reflective and nuanced engagement with cultural collections, deepen understanding of their social, historical, and epistemic contexts, and ultimately strengthen trust in visualization methods within the arts and humanities.","PeriodicalId":55026,"journal":{"name":"IEEE Computer Graphics and Applications","volume":"PP ","pages":"45-59"},"PeriodicalIF":1.4,"publicationDate":"2025-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144035748","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

FEWSim: A Visual Analytic Framework for Exploring the Nexus of Food-Energy-Water Simulations. FEWSim：探索食物-能量-水模拟关系的可视化分析框架。

IF 1.7 4区计算机科学

IEEE Computer Graphics and Applications Pub Date : 2025-06-19 DOI: 10.1109/MCG.2025.3581004

Fan Lei, David A Sampson, Jiayi Hong, Yuxin Ma, Giuseppe Mascaro, Dave White, Rimjhim Agarwal, Ross Maciejewski

{"title":"FEWSim: A Visual Analytic Framework for Exploring the Nexus of Food-Energy-Water Simulations.","authors":"Fan Lei, David A Sampson, Jiayi Hong, Yuxin Ma, Giuseppe Mascaro, Dave White, Rimjhim Agarwal, Ross Maciejewski","doi":"10.1109/MCG.2025.3581004","DOIUrl":"https://doi.org/10.1109/MCG.2025.3581004","url":null,"abstract":"The interdependencies of food, energy, and water (FEW) systems create a nexus opportunity to explore the strengths and vulnerabilities of individual and cross-sector interactions within FEW systems. However, the variables quantifying nexus interactions are hard to observe, which hinders the cross-sector analysis. To overcome such challenges, we present FEWSim, a visual analytics framework designed to support domain experts in exploring and interpreting simulation results from a coupled FEW model. FEWSim employs a three-layer asynchronous architecture: the model layer integrates food, energy, and water models to simulate the FEW nexus; the middleware layer manages scenario configuration and execution; and the visualization layer provides interactive visual exploration of simulated time-series results across FEW sectors. The visualization layer further facilitates the exploration across multiple scenarios and evaluates scenario differences in performance using sustainability indices of the FEW nexus. We demonstrate the utility of FEWSim through a case study for the Phoenix Active Management Area (AMA) in Arizona.","PeriodicalId":55026,"journal":{"name":"IEEE Computer Graphics and Applications","volume":"PP ","pages":""},"PeriodicalIF":1.7,"publicationDate":"2025-06-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144334521","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

SSGesture: Multimodal Gesture Generation Framework for Human Animation Synthesis. SSGesture：人类动画合成的多模态手势生成框架。

IF 1.7 4区计算机科学

IEEE Computer Graphics and Applications Pub Date : 2025-06-06 DOI: 10.1109/MCG.2025.3577477

Xinyi Wang, Shiguang Liu, Xu Yang

{"title":"SSGesture: Multimodal Gesture Generation Framework for Human Animation Synthesis.","authors":"Xinyi Wang, Shiguang Liu, Xu Yang","doi":"10.1109/MCG.2025.3577477","DOIUrl":"https://doi.org/10.1109/MCG.2025.3577477","url":null,"abstract":"Technological innovations are reshaping the development of animation production. As virtual characters are increasingly used in animation creation and smart assistants, a key challenge is how to automatically generate dialogue gestures. However, current approaches often overlook a wide range of modalities and their interactions, resulting in gestures that have low contextual variation and noticeable jitter. To address these issues, we propose SSGesture, a novel diffusion-based framework that effectively captures cross-modal associations. Our three-layer attention structure enhances multimodal processing. We propose the first method to automatically resolve style conflicts through interpolation-based gesture style control, while implementing a unified unmarked style prompt structure via the PAAN layer. Our framework is practically applied in the field of intelligent virtual assistants to generate gestures in human animation synthesis and to realize various new applications. Extensive experiments and user studies have demonstrated that our proposed framework, provides substantial assistance in enhancing the efficiency of human animation production.","PeriodicalId":55026,"journal":{"name":"IEEE Computer Graphics and Applications","volume":"PP ","pages":""},"PeriodicalIF":1.7,"publicationDate":"2025-06-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144250975","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

A Two-Stage Unsupervised GAN Approach for Anime-to-Manga Translation. 一种用于动漫翻译的两阶段无监督GAN方法。

IF 1.7 4区计算机科学

IEEE Computer Graphics and Applications Pub Date : 2025-05-06 DOI: 10.1109/MCG.2025.3567442

Joao Luiz Lagoas de A B, Carlos Eduardo Pedreira, Pedro V Sander, Jing Liao

引用次数: 0

Meta-Objects: Interactive and Multisensory Virtual Objects Learned From the Real World for Use in Augmented Reality. 元对象：从现实世界中学习用于增强现实的交互式和多感官虚拟对象。

IF 1.7 4区计算机科学

IEEE Computer Graphics and Applications Pub Date : 2025-05-01 DOI: 10.1109/MCG.2025.3555901

Dooyoung Kim, Taewook Ha, Jinseok Hong, Seonji Kim, Selin Choi, Heejeong Ko, Woontack Woo, Mike Potel

{"title":"Meta-Objects: Interactive and Multisensory Virtual Objects Learned From the Real World for Use in Augmented Reality.","authors":"Dooyoung Kim, Taewook Ha, Jinseok Hong, Seonji Kim, Selin Choi, Heejeong Ko, Woontack Woo, Mike Potel","doi":"10.1109/MCG.2025.3555901","DOIUrl":"https://doi.org/10.1109/MCG.2025.3555901","url":null,"abstract":"We introduce the concept of a meta-object, a next-generation virtual object that inherits the form, properties, and functions of its real-world counterpart, enabling seamless synchronization, interaction, and sharing between the physical and virtual worlds. While plenty of today's virtual objects provide some sensory feedback and dynamic behavior, meta-objects fully integrate interactive and multisensory features within a structured data framework to enable real-time immersive experiences in a postmetaverse intelligent simulation platform. Three key components underpin the utilization of meta-objects in the postmetaverse: property-embedded modeling for physical and action realism, adaptive multisensory feedback tailored to user interactions, and a scene graph-based intelligence simulation platform for scalable and efficient ecosystem integration. By leveraging meta-objects through wearable augmented reality/virtual reality devices, the postmetaverse facilitates seamless interactions that transcend spatial and temporal barriers, paving the way for a transformative reality-virtuality convergence.","PeriodicalId":55026,"journal":{"name":"IEEE Computer Graphics and Applications","volume":"45 3","pages":"134-143"},"PeriodicalIF":1.7,"publicationDate":"2025-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144683618","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Preparedness for Visualization in the Next Pandemic. 为下一次大流行的可视化做好准备。

IF 1.7 4区计算机科学

IEEE Computer Graphics and Applications Pub Date : 2025-05-01 DOI: 10.1109/MCG.2025.3561619

Fintan McGee, Muna Abu Sin, Min Chen, David Ebert, Kazuo Misue, Panagiotis D Ritsos, Antje Wulff, Melanie Tory, Daniel Keefe

引用次数: 0

Data-Inflected Visions of Feminicide. 数据影响下的杀害女性行为。

IF 1.7 4区计算机科学

IEEE Computer Graphics and Applications Pub Date : 2025-05-01 DOI: 10.1109/MCG.2025.3543025

Helena Suarez Val

引用次数: 0