IEEE Computer Graphics and Applications最新文献

Next Generation XR Systems-Large Language Models Meet Augmented and Virtual Reality.

IF 1.7 4区计算机科学

IEEE Computer Graphics and Applications Pub Date : 2025-03-06 DOI: 10.1109/MCG.2025.3548554

Muhamamd Zeshan Afzal, Sk Aziz Ali, Didier Stricker, Peter Eisert, Anna Hilsmann, Daniel Perez-Marcos, Marco Bianchi, Sonia Crottaz-Herbette, Roberto De Ioris, Eleni Mangina, Mirco Sanguineti, Ander Salaberria, Oier Lopez de Lacalle, Aitor Garcia-Pablos, Montse Cuadros

{"title":"Next Generation XR Systems-Large Language Models Meet Augmented and Virtual Reality.","authors":"Muhamamd Zeshan Afzal, Sk Aziz Ali, Didier Stricker, Peter Eisert, Anna Hilsmann, Daniel Perez-Marcos, Marco Bianchi, Sonia Crottaz-Herbette, Roberto De Ioris, Eleni Mangina, Mirco Sanguineti, Ander Salaberria, Oier Lopez de Lacalle, Aitor Garcia-Pablos, Montse Cuadros","doi":"10.1109/MCG.2025.3548554","DOIUrl":"https://doi.org/10.1109/MCG.2025.3548554","url":null,"abstract":"Extended Reality (XR) is evolving rapidly, offering new paradigms for humancomputer interaction. This position paper argues that integrating Large Language Models (LLMs) with XR systems represents a fundamental shift toward more intelligent, context-aware, and adaptive mixed-reality experiences. We propose a structured framework built on three key pillars: (1) Perception and Situational Awareness, (2) Knowledge Modeling and Reasoning, and (3) Visualization and Interaction. We believe leveraging LLMs within XR environments enables enhanced situational awareness, real-time knowledge retrieval, and dynamic user interaction, surpassing traditional XR capabilities. We highlight the potential of this integration in neurorehabilitation, safety training, and architectural design while underscoring ethical considerations such as privacy, transparency, and inclusivity. This vision aims to spark discussion and drive research toward more intelligent, human-centric XR systems.","PeriodicalId":55026,"journal":{"name":"IEEE Computer Graphics and Applications","volume":"PP ","pages":""},"PeriodicalIF":1.7,"publicationDate":"2025-03-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143574654","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

Towards Collective Storytelling: Investigating Audience Annotations in Data Visualizations.

IF 1.7 4区计算机科学

IEEE Computer Graphics and Applications Pub Date : 2025-03-04 DOI: 10.1109/MCG.2025.3547944

Tobias Kauer, Marian Dork, Benjamin Bach

引用次数: 0

Data-Inflected Visions of Feminicide.

IF 1.7 4区计算机科学

IEEE Computer Graphics and Applications Pub Date : 2025-02-17 DOI: 10.1109/MCG.2025.3543025

Helena Surez Val

引用次数: 0

Accelerate Cutting Tasks in Real-Time Interactive Cutting Simulation of Deformable Objects.

IF 1.7 4区计算机科学

IEEE Computer Graphics and Applications Pub Date : 2025-02-05 DOI: 10.1109/MCG.2025.3538985

Shiyu Jia, Qian Dong, Zhenkuan Pan, Xiaokang Yu, Wenli Xiu, Jingli Zhang

引用次数: 0

Augmented Reality Art Museum Mobile Guide for Enhancing User Experience.

IF 1.7 4区计算机科学

IEEE Computer Graphics and Applications Pub Date : 2025-01-14 DOI: 10.1109/MCG.2025.3529981

Tung-Ju Hsieh, Yao-Hua Su, Li-Sen Lin

引用次数: 0

A Semi-Automated Pipeline for the Creation of Virtual Fitting Room Experiences Featuring Motion Capture and Cloth Simulation.

IF 1.7 4区计算机科学

IEEE Computer Graphics and Applications Pub Date : 2024-12-24 DOI: 10.1109/MCG.2024.3521716

Alberto Cannavo, Giacomo Offre, Fabrizio Lamberti

{"title":"A Semi-Automated Pipeline for the Creation of Virtual Fitting Room Experiences Featuring Motion Capture and Cloth Simulation.","authors":"Alberto Cannavo, Giacomo Offre, Fabrizio Lamberti","doi":"10.1109/MCG.2024.3521716","DOIUrl":"https://doi.org/10.1109/MCG.2024.3521716","url":null,"abstract":"Technological advancements are prompting the digitization of many industries, including fashion. Many brands are exploring ways to enhance customers' experience, e.g., offering new shopping-oriented services like Virtual Fitting Rooms (VFRs). However, there are still challenges that prevent customers from effectively using these tools for trying on digital garments. Challenges are associated with difficulties in obtaining high-fidelity reconstructions of body shapes and providing realistic visualizations of animated clothes following real-time customers' movements. This paper tackles such lacks by proposing a semi-automated pipeline supporting the creation of VFR experiences by exploiting state-of-the-art techniques for the accurate description and reconstruction of customers' 3D avatars, motion capture-based animation, as well as realistic garment design and simulation. A user study in which the resulting VFR experience was compared with those created with two existing tools showed the benefits of the devised solution in terms of usability, embodiment, model accuracy, perceived value, adoption and purchase intention.","PeriodicalId":55026,"journal":{"name":"IEEE Computer Graphics and Applications","volume":"PP ","pages":""},"PeriodicalIF":1.7,"publicationDate":"2024-12-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143544570","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

LossLens: Diagnostics for Machine Learning Through Loss Landscape Visual Analytics.

IF 1.7 4区计算机科学

IEEE Computer Graphics and Applications Pub Date : 2024-12-16 DOI: 10.1109/MCG.2024.3509374

Tiankai Xie, Jiaqing Chen, Yaoqing Yang, Caleb Geniesse, Ge Shi, Ajinkya Chaudhari, John Kevin Cava, Michael W Mahoney, Talita Perciano, Gunther H Weber, Ross Maciejewski

{"title":"LossLens: Diagnostics for Machine Learning Through Loss Landscape Visual Analytics.","authors":"Tiankai Xie, Jiaqing Chen, Yaoqing Yang, Caleb Geniesse, Ge Shi, Ajinkya Chaudhari, John Kevin Cava, Michael W Mahoney, Talita Perciano, Gunther H Weber, Ross Maciejewski","doi":"10.1109/MCG.2024.3509374","DOIUrl":"https://doi.org/10.1109/MCG.2024.3509374","url":null,"abstract":"Modern machine learning often relies on optimizing a neural network's parameters using a loss function to learn complex features. Beyond training, examining the loss function with respect to a network's parameters (i.e., as a loss landscape) can reveal insights into the architecture and learning process. While the local structure of the loss landscape surrounding an individual solution can be characterized using a variety of approaches, the global structure of a loss landscape, which includes potentially many local minima corresponding to different solutions, remains far more difficult to conceptualize and visualize. To address this difficulty, we introduce LossLens, a visual analytics framework that explores loss landscapes at multiple scales. LossLens integrates metrics from global and local scales into a comprehensive visual representation, enhancing model diagnostics. We demonstrate LossLens through two case studies: visualizing how residual connections influence a ResNet-20, and visualizing how physical parameters influence a physics-informed neural network (PINN) solving a simple convection problem.","PeriodicalId":55026,"journal":{"name":"IEEE Computer Graphics and Applications","volume":"PP ","pages":""},"PeriodicalIF":1.7,"publicationDate":"2024-12-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143544540","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

Enhancing Virtual Reality Training through Artificial Intelligence: A Case Study.

IF 1.7 4区计算机科学

IEEE Computer Graphics and Applications Pub Date : 2024-12-04 DOI: 10.1109/MCG.2024.3510857

Riccardo Giussani, Nicolo Dozio, Stefano Rigone, Luca Parenzan, Francesco Ferrise

引用次数: 0

Thirty Years of Applications.

IF 1.7 4区计算机科学

IEEE Computer Graphics and Applications Pub Date : 2024-11-01 DOI: 10.1109/MCG.2024.3466548

Mike Potel, Mike Potel

引用次数: 0

Situated Visualization in Motion.

IF 1.7 4区计算机科学

IEEE Computer Graphics and Applications Pub Date : 2024-11-01 DOI: 10.1109/MCG.2024.3462129

Lijie Yao

{"title":"Situated Visualization in Motion.","authors":"Lijie Yao","doi":"10.1109/MCG.2024.3462129","DOIUrl":"https://doi.org/10.1109/MCG.2024.3462129","url":null,"abstract":"We define visualization in motion and make several contributions to how to visualize and design situated visualizations in motion. In situated data visualization, the data are directly visualized near their data referent (i.e., the physical space, object, or person it refers to) (Bressa et al., 2022). Situated visualizations are often useful in contexts where the data referent or the viewer does not remain stationary but is in relative motion. For example, a runner looks at visualizations from their fitness band while running. Reading visualizations in such scenarios might be impacted by motion factors. As such, understanding how to best design visualizations with motion factors is important. We define visualizations in motion as visual data representations used in contexts that exhibit relative motion between a viewer and an entire visualization. We propose a research agenda to understand what research opportunities and challenges are under visualization in motion (Yao et al., 2022). Next, we investigate (a) how motion factors can affect the reading accuracy of visualizations (Yao et al., 2022), (b) how to design and embed visualizations in motion in a real application scenario (Yao et al., 2024), and (c) the user experience and design tradeoffs of visualization in motion through a case study (Yao et al., 2024).","PeriodicalId":55026,"journal":{"name":"IEEE Computer Graphics and Applications","volume":"44 6","pages":"142-150"},"PeriodicalIF":1.7,"publicationDate":"2024-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143544541","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