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Weakly Supervised Exaggeration Transfer for Caricature Generation With Cross-Modal Knowledge Distillation IEEE Comput. Graph. Appl. (IF 1.8) Pub Date : 2024-04-17 Shuo Tong, Han Liu, Yuxin He, Chenxiao Du, Wenqing Wang, Runyuan Guo, Jingyun Liu
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Is Less More? Rendering for Esports IEEE Comput. Graph. Appl. (IF 1.8) Pub Date : 2024-03-26 Benjamin Watson, Josef Spjut, Joohwan Kim, Byungjoo Lee, Mijin Yoo, Peter Shirley, Rulon Raymond
Computer graphics research has long prioritized image quality over frame rate. Yet demand for an alternative is growing, with many esports players turning off visual effects to improve frame rates. Is it time for graphics researchers to reconsider their goals? A workshop at the 2023 SIGGRAPH Conference explored this question. Three researchers made provocative presentations, each of which were then
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Sitting or Standing in VR: About Comfort, Conflicts, and Hazards IEEE Comput. Graph. Appl. (IF 1.8) Pub Date : 2024-03-25 Daniel Zielasko, Bernhard E. Riecke
This article examines the choices between sitting and standing in virtual reality (VR) experiences, addressing conflicts, challenges, and opportunities. It explores issues such as the risk of motion sickness in stationary users and virtual rotations, the formation of mental models, consistent authoring, affordances, and the integration of embodied interfaces for enhanced interactions. Furthermore,
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Virtual Access to STEM Careers: In the Field Experiments IEEE Comput. Graph. Appl. (IF 1.8) Pub Date : 2024-03-25 David C. Hollock, Nicholas J. Brunsink, Austin B. Whittaker, Andrew Lawson, Toni B. Pence, Brittany Morago, Elham Ebrahimi, James Stocker, Amelia Moody, Amy Taylor
The Virtual Access to STEM Careers (VASC) project is an intertwined classroom and virtual reality (VR) curricular program for third through fourth graders. Elementary school students learn about and take on the roles and responsibilities of STEM occupations through authentic, problem-based tasks with physical kits and immersive VR environments. This article reports on a round of curriculum and virtual
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Databiting: Lightweight, Transient, and Insight Rich Exploration of Personal Data IEEE Comput. Graph. Appl. (IF 1.8) Pub Date : 2024-03-25 Bradley Rey, Bongshin Lee, Eun Kyoung Choe, Pourang Irani
As mobile and wearable devices are becoming increasingly powerful, access to personal data is within reach anytime and anywhere. Currently, methods of data exploration while on-the-go and in-situ are, however, often limited to glanceable and micro visualizations, which provide narrow insight. In this article, we introduce the notion of databiting, the act of interacting with personal data to obtain
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The Test of Time (ToT) Awards IEEE Comput. Graph. Appl. (IF 1.8) Pub Date : 2024-03-25 Chi Wing Fu
The IEEE Computer Graphics and Applications (IEEE CG&A) Test of Time (ToT) Award was introduced in 2021, aiming to recognize regular or special issue articles published by the magazine that have made profound and long-lasting impacts in bridging the theory and practice of computer graphics.
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Visualization and Visual Analytics in Autonomous Driving IEEE Comput. Graph. Appl. (IF 1.8) Pub Date : 2024-03-25 Sudhir K.Routray
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Get Published in the New IEEE Open Journal of the Computer Society IEEE Comput. Graph. Appl. (IF 1.8) Pub Date : 2024-03-25
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EIC's Editorial IEEE Comput. Graph. Appl. (IF 1.8) Pub Date : 2024-03-25 André Stork
Dear readers, on 19 January 2024, I ran my first Editorial Board Meeting as Editor-in-Chief. Preparing for the meeting, we—the Associate Editors-in-Chief (AEICs) and I—looked back on what we planned and changed in 2023 and to what extent our intentions and hopes could have been successfully implemented already. Moreover, we looked at different performance indicators and how they progressed in comparison
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Holon Loosely [About the Cover] IEEE Comput. Graph. Appl. (IF 1.8) Pub Date : 2024-03-25 Gary Singh
For two weeks in August of 2023, the waterfront docks in Melbourne, Australia, welcomed 130 cybernetic solar-powered “creatures” equipped with microphones, speakers, lights, photovoltaic cells, and on-board computers. During the day, the sun filled the creatures with energy. At nighttime, they communicated with each other via sound and light (see cover and Figure 1). Any biological species in the vicinity—birds
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Jon McCormack: Art Infused With [Artificial] Intelligence IEEE Comput. Graph. Appl. (IF 1.8) Pub Date : 2024-03-25 Jon McCormack, Francesca Samsel
We requested an interview with Jon McCormack after we encountered his work when looking for artists doing compelling work at the intersection of art and artificial intelligence (AI).
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Art and Artificial Intelligence IEEE Comput. Graph. Appl. (IF 1.8) Pub Date : 2024-03-25 Bruce Donald Campbell, Nicholas Hedley, Aaron Hertzmann
As Guest editors, we have appreciated the opportunity to engage with a variety of authors working within the realm of Art and Artificial Intelligence (art+AI). The process of guest editing this special issue has expanded our consideration from three different professional stances. Campbell watches an art and design campus that hesitantly considers artificial intelligence as a possible contribution
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Generative AI for Visualization: Opportunities and Challenges IEEE Comput. Graph. Appl. (IF 1.8) Pub Date : 2024-03-25 Rahul C. Basole, Timothy Major
Recent developments in artificial intelligence (AI) and machine learning (ML) have led to the creation of powerful generative AI methods and tools capable of producing text, code, images, and other media in response to user prompts. Significant interest in the technology has led to speculation about what fields, including visualization, can be augmented or replaced by such approaches. However, there
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Human-in-the-Loop: Visual Analytics for Building Models Recognising Behavioural Patterns in Time Series IEEE Comput. Graph. Appl. (IF 1.8) Pub Date : 2024-03-20 Natalia Andrienko, Gennady Andrienko, Alexander Artikis, Periklis Mantenoglou, Salvatore Rinzivillo
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PerfectTailor: Scale-Preserving 2D Pattern Adjustment Driven by 3D Garment Editing IEEE Comput. Graph. Appl. (IF 1.8) Pub Date : 2024-03-18 Anran Qi, Takeo Igarashi
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Science in Depth IEEE Comput. Graph. Appl. (IF 1.8) Pub Date : 2024-02-12 Ellen Sandor, Stephan Meyers
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Book Reviews [Two books reviewed] IEEE Comput. Graph. Appl. (IF 1.8) Pub Date : 2024-02-12 Stuart Hungerford
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Lightweight 3-D Convolutional Occupancy Networks for Virtual Object Reconstruction IEEE Comput. Graph. Appl. (IF 1.8) Pub Date : 2024-02-06 Claudia Melis Tonti, Lorenzo Papa, Irene Amerini
The increasing demand for edge devices causes the necessity for recent technologies to be adaptable to nonspecialized hardware. In particular, in the context of augmented, virtual reality, and computer graphics, the 3-D object reconstruction task from a sparse point cloud is highly computationally demanding and for this reason, it is difficult to accomplish on embedded devices. In addition, the majority
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Visualization for Trust in Machine Learning Revisited: The State of the Field in 2023 IEEE Comput. Graph. Appl. (IF 1.8) Pub Date : 2024-01-31 Angelos Chatzimparmpas, Kostiantyn Kucher, Andreas Kerren
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How Text-to-Image Generative AI Is Transforming Mediated Action IEEE Comput. Graph. Appl. (IF 1.8) Pub Date : 2024-01-29 Henriikka Vartiainen, Matti Tedre
This article examines the intricate relationship between humans and text-to-image generative models (generative artificial intelligence/genAI) in the realm of art. The article frames that relationship in the theory of mediated action—a well-established theory that conceptualizes how tools shape human thoughts and actions. The article describes genAI systems as learning, cocreating, and communicating
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EIC's Editorial IEEE Comput. Graph. Appl. (IF 1.8) Pub Date : 2024-01-26 André Stork
Dear readers, welcome to the New Year. I hope you started 2024 well and I wish you all the best for the months ahead!
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Interactive Visualization in Applications IEEE Comput. Graph. Appl. (IF 1.8) Pub Date : 2024-01-25 Christina Gillmann, Johanna Schmidt, Daniel Wiegreffe
Interactive visualization empowers users to actively engage with data. This article introduces interactive visualization’s key features and its applications in data analysis, business, science, and journalism. It also highlights challenges, including scalability, complexity, and user engagement, and discusses how two applications address these issues. Despite these challenges, interactive visualization
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New Insights in Smooth Occluding Contours for Nonphotorealistic Rendering IEEE Comput. Graph. Appl. (IF 1.8) Pub Date : 2024-01-25 Aaron Hertzmann
Computing occluding contours is often a crucial step in stroke-based artistic 3-D stylization for movies, video games, and visualizations. However, many existing applications use only simple curve stylization techniques, such as thin black lines or hand-animated strokes. This is because sophisticated procedural stylization requires accurate curve topology, which has long been an unsolved research problem
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All That Data Jazz IEEE Comput. Graph. Appl. (IF 1.8) Pub Date : 2024-01-25 Gary Singh
When Kirell Benzi was a young Ph.D. student at the Swiss Federal Institute of Technology in Lausanne (EPFL), friends asked him questions like, “What are you working on these days?” To answer, Benzi began to scribble equations on a whiteboard, but then realized people had only asked out of courtesy. They really were not expecting him to elaborate on network science.
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Wildfire, Snow, and, Panoramic Ray Tracing IEEE Comput. Graph. Appl. (IF 1.8) Pub Date : 2024-01-25 André Stork, Chi-Wing Fu
The current issue features three articles from our regular queue that cover a range of topics in visualization, rendering, and mixed reality (MR), including interactive visual analytics, ray tracing, appearance rendering, and augmented reality (AR) and virtual reality (VR) technologies. These three articles complement the two articles that constitute the half Special Issue.
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A Workflow to Visually Assess Interobserver Variability in Medical Image Segmentation IEEE Comput. Graph. Appl. (IF 1.8) Pub Date : 2024-01-25 Hannah Clara Bayat, Manuela Waldner, Renata G. Raidou
We introduce a workflow for the visual assessment of interobserver variability in medical image segmentation. Image segmentation is a crucial step in the diagnosis, prognosis, and treatment of many diseases. Despite the advancements in autosegmentation, clinical practice widely relies on manual delineations performed by radiologists. Our work focuses on designing a solution for understanding the radiologists’
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Using Counterfactuals to Improve Causal Inferences From Visualizations IEEE Comput. Graph. Appl. (IF 1.8) Pub Date : 2024-01-25 David Borland, Arran Zeyu Wang, David Gotz
Traditional approaches to data visualization have often focused on comparing different subsets of data, and this is reflected in the many techniques developed and evaluated over the years for visual comparison. Similarly, common workflows for exploratory visualization are built upon the idea of users interactively applying various filter and grouping mechanisms in search of new insights. This paradigm
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Testing the Capability of AI Art Tools for Urban Design IEEE Comput. Graph. Appl. (IF 1.8) Pub Date : 2024-01-19 Connor Phillips, Junfeng Jiao, Emmalee Clubb
This study aimed to evaluate the performance of three artificial intelligence (AI) image synthesis models, Dall-E 2, Stable Diffusion, and Midjourney, in generating urban design imagery based on scene descriptions. A total of 240 images were generated and evaluated by two independent professional evaluators using an adapted sensibleness and specificity average metric. The results showed significant
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NeRF-In: Free-Form Inpainting for Pretrained NeRF With RGB-D Priors IEEE Comput. Graph. Appl. (IF 1.8) Pub Date : 2023-11-28 I-Chao Shen, Hao-Kang Liu, Bing-Yu Chen
Neural radiance field (NeRF) has emerged as a versatile scene representation. However, it is still unintuitive to edit a pretrained NeRF because the network parameters and the scene appearance are often not explicitly associated. In this article, we introduce the first framework that enables users to retouch undesired regions in a pretrained NeRF scene without accessing any training data and category-specific
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EIC's Editorial IEEE Comput. Graph. Appl. (IF 1.8) Pub Date : 2023-11-07 André Stork
Dear readers, this is the last IEEE Computer Graphics and Applications (IEEE CG&A) issue of 2023. It marks the end of my first year as EIC. Unbelievable how time flies, but, wow, what a year for me, and hopefully for you as well!
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Open Density IEEE Comput. Graph. Appl. (IF 1.8) Pub Date : 2023-11-06 Gary Singh
When the pandemic hit, Alasdair Rae was teaching urban planning in Sheffield, England, writing papers on global population density and consulting on the side. His department needed to downsize, so he took a voluntary redundancy.
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Visualization in the Wild IEEE Comput. Graph. Appl. (IF 1.8) Pub Date : 2023-11-06 Christina Gillmann, Johanna Schmidt, Daniel Wiegreffe
Visualization approaches have been successfully applied to a variety of application fields. Continuously published novel visualization approaches reflect the need for and success of visualization approaches. However, when looking at visualization techniques that designers apply in real-world applications targeted at a larger user group (e.g., medical experts, engineers, journalists, and public authorities)
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Quantum Computing and Visualization: A Disruptive Technological Change Ahead IEEE Comput. Graph. Appl. (IF 1.8) Pub Date : 2023-11-06 E. Wes Bethel, Mercy G. Amankwah, Jan Balewski, Roel Van Beeumen, Daan Camps, Daniel Huang, Talita Perciano
The focus of this Visualization Viewpoints article is to provide some background on quantum computing (QC), to explore ideas related to how visualization helps in understanding QC, and examine how QC might be useful for visualization with the growth and maturation of both technologies in the future. In a quickly evolving technology landscape, QC is emerging as a promising pathway to overcome the growth
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The Curse of Performative User Studies IEEE Comput. Graph. Appl. (IF 1.8) Pub Date : 2023-11-06 Aaron Hertzmann
Computer graphics research frequently evaluates research outputs with user studies, often through online crowdworking platforms. When performed carefully and thoughtfully, studies on human behavior and preferences provide valuable insights, useful for both developing and evaluating new tools. Yet, I argue that many of the current studies are performative: they result from reviewers’ expectation that
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The Making of a Newspaper Interview in Virtual Reality: Realistic Avatars, Philosophy, and Sushi IEEE Comput. Graph. Appl. (IF 1.8) Pub Date : 2023-11-06 Ramon Oliva, Alejandro Beacco, Jaime Gallego, Raul Gallego Abellan, Mel Slater
VR United is a virtual reality application that we have developed to support multiple people simultaneously interacting in the same environment. Each person is represented with a virtual body that looks like themselves. Such immersive shared environments have existed and been the subject of research for the past 30 years. Here, we demonstrate how VR United meets criteria for successful interaction
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JNZNBRK: Physical Experiments in Light, Modulation, and Substrate IEEE Comput. Graph. Appl. (IF 1.8) Pub Date : 2023-11-06 Kyle Janzen, Chris Burke, Bruce D. Campbell, Francesca Samsel
We requested an interview with the Winnipeg-based JNZNBRK art collaborative upon being curious about their work process. The artwork they present on jnznbrk.com suggested a thoughtful aesthetic involving compelling physical exhibits. As we are always interested in the physicalization of data, we were keen to hear about possible considerations that might contribute as relevant to our, and our readers'