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Application-oriented papers provide an important way to invigorate and cross-pollinate the visualization field, but the exact criteria for judging an application paper's merit remain an open question. This article builds on a panel at the 2016 IEEE Visualization Conference entitled "Application Papers: What Are They, and How Should They Be Evaluated?" that sought to gain a better understanding of prevalent views in the visualization community. This article surveys current trends that favor application papers, reviews the benefits and contributions of this paper type, and discusses their assessment in the review process. It concludes with recommendations to ensure that the visualization community is more inclusive to application papers. [ABSTRACT FROM PUBLISHER]

In this special issue of IEEE Transactions on Visualization and Computer Graphics (TVCG), we are pleased to present a subset of papers from the 29th IEEE Conference on Virtual Reality and 3D User Interfaces (IEEE VR 2022), held virtually March 12-16, 2022, in Christchurch, New Zealand. [ABSTRACT FROM AUTHOR]

Presents the opening speaches and editorials from guest editors from the conference proceedings. [ABSTRACT FROM AUTHOR]

Copyright of IEEE Computer Graphics & Applications is the property of IEEE and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. Publish your work in the IEEE Computer Society's flagship journal, IEEE Transactions on Computers. [Extracted from the article]

Write for the IEEE Computer Society's authoritative computing publications and conferences. GET PUBLISHED www.computer.org/cfp Copyright of IEEE Computer Graphics & Applications is the property of IEEE and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. [Extracted from the article]

In this special issue of IEEE Transactions on Visualization and Computer Graphics (TVCG), we are pleased to present the journal papers from the 21st IEEE International Symposium on Mixed and Augmented Reality (ISMAR 2022), which will be held as a hybrid conference between October 17 and 21, 2022 in Singapore. ISMAR continues the over twenty year long tradition of IWAR, ISMR, and ISAR, and is the premier conference for Mixed and Augmented Reality in the world. [ABSTRACT FROM AUTHOR]

We present the results of a comprehensive multi-pass analysis of visualization paper keywords supplied by authors for their papers published in the IEEE Visualization conference series (now called IEEE VIS) between 1990–2015. From this analysis we derived a set of visualization topics that we discuss in the context of the current taxonomy that is used to categorize papers and assign reviewers in the IEEE VIS reviewing process. We point out missing and overemphasized topics in the current taxonomy and start a discussion on the importance of establishing common visualization terminology. Our analysis of research topics in visualization can, thus, serve as a starting point to (a) help create a common vocabulary to improve communication among different visualization sub-groups, (b) facilitate the process of understanding differences and commonalities of the various research sub-fields in visualization, (c) provide an understanding of emerging new research trends, (d) facilitate the crucial step of finding the right reviewers for research submissions, and (e) it can eventually lead to a comprehensive taxonomy of visualization research. One additional tangible outcome of our work is an online query tool (http://keyvis.org/) that allows visualization researchers to easily browse the 3952 keywords used for IEEE VIS papers since 1990 to find related work or make informed keyword choices. [ABSTRACT FROM PUBLISHER]

Marbling creates stone-like or intricate abstract decorations from inks floating on water or gel. Instead of using fluid dynamics to simulate marbling, a proposed method takes a mathematical approach with closed-form expressions. This method improves control, ease of implementation, parallelism, and speed, enabling real-time visual feedback and creation of vivid flowing animations. Users can start designs from a blank sheet, raster images, or videos. When starting with a blank sheet, this method can produce compact resolution-independent vector output. The transforms for the marbling operations all have inverse transforms. Forward application generates compact resolution-independent vector-based output; inverse application generates pixel-based output. In both cases, the closed-form expressions preserve the designs' quality and sharpness. Extensive comparisons with other digital marbling methods demonstrates this method's efficiency and effectiveness. Applications of this method include surface detail rendering for 3D objects, interactive video processing, and scene decoration. The video at http://youtu.be/ZgVbIaKhC_4 shows the application of simulated marbling to a video stream. [ABSTRACT FROM PUBLISHER]

The Marching Cubes paper by Bill Lorensen and Harvey Cline, "Marching Cubes: A High Resolution 3D Surface Construction Algorithm," was published at SIGGRAPH 1987.1 According to Google Scholar, their paper has 15,667 citations (as of January 17, 2020), the most highly cited paper in computer graphics. Sadly, while writing this article Bill Lorensen passed away on December 12, 2019. Origins Department Editor Chris Johnson contributed the text in italics. EARLY [ABSTRACT FROM AUTHOR]

In this special issue of IEEE Transactions on Visualization and Computer Graphics (TVCG), we are pleased to present the journal papers from the 20th IEEE International Symposium on Mixed and Augmented Reality (ISMAR 2021), which will be held as a virtual conference between October 4 and 8, 2021. ISMAR continues the over twenty year long tradition of IWAR, ISMR, and ISAR, and is the premier conference for Mixed and Augmented Reality in the world. [ABSTRACT FROM AUTHOR]

This paper proposes an image-based painterly rendering algorithm for automatically synthesizing an image with color ink diffusion. We suggest a mathematical model with a physical base to simulate the phenomenon of color colloidal ink diffusing into absorbent paper. Our algorithm contains three main parts: a feature extraction phase, a Kubelka-Munk (KM) color mixing phase, and a color ink diffusion synthesis phase. In the feature extraction phase, the information of the reference image is simplified by luminance division and color segmentation. In the color mixing phase, the KM theory is employed to approximate the result when one pigment is painted upon another pigment layer. Then, in the color ink diffusion synthesis phase, the physically-based model that we propose is employed to simulate the result of color ink diffusion in absorbent paper using a texture synthesis technique. Our image-based ink diffusing rendering (IBCIDR) algorithm eliminates the drawback of conventional Chinese ink simulations, which are limited to the black ink domain, and our approach demonstrates that, without using any strokes, a color image can be automatically converted to the diffused ink style with a visually pleasing appearance. [ABSTRACT FROM AUTHOR]

Presents the welcome message from this conference. [ABSTRACT FROM AUTHOR]

Welcome to the January 2022 issue of the IEEE Transactions on Visualization and Computer Graphics (TVCG). This is traditionally the time of the year when we feature the IEEE VIS special issue and this year is no different. But there is one significant difference — IEEE VIS is now fully unified. There is no more IEEE VAST, IEEE InfoVis and IEEE SciVis; there is just IEEE VIS, tiled into six overarching areas: Applications (24 papers), Analytics & Decisions (19), Theoretical & Empirical (24), Representations & Interaction (19), Data Transformations (14) and Systems & Rendering (11). The conference was scheduled to take place in New Orleans (LA) but was moved to a virtual event due to the global coronavirus pandemic. This virtual conference took place from October 24-29, 2021. Contained in this special issue are the top 110 papers selected by the unified program committee from a total of 441 submissions. In addition, this issue also contains the Best Paper of the 2021 IEEE Large Scale Data Analysis and Visualization (LDAV) Symposium and the Best Paper of the 2021 IEEE Symposium on Visualization for Cyber Security (VizSec). [ABSTRACT FROM AUTHOR]

Two decades have passed since the introduction of Markov chain Monte Carlo (MCMC) into light transport simulation by Veach and Guibas, and numerous follow-up works have been published since then. However, up until now no survey has attempted to cover the majority of these methods. The aim of this paper is therefore to offer a first comprehensive survey of MCMC algorithms for light transport simulation. The methods presented in this paper are categorized by their objectives and properties, while we point out their strengths and weaknesses. We discuss how the methods handle the main issues of MCMC and how they could be combined or improved in the near future. To make the paper suitable for readers unacquainted with MCMC methods, we include an introduction to general MCMC and its demonstration on a simple example. [ABSTRACT FROM AUTHOR]

Visualization PhD students or researchers starting a research project or initiating research on an unfamiliar topic often review the scientific literature about their research topic. This start-up phase involves wading through and reading scores, if not hundreds, of published research papers. Reading these papers and capturing their essential information is a challenge. Furthermore, the difficulty only increases over time as the publications' complexity and quantity increase. However, remembering all the details of what you've read isn't necessary. Several simple guidelines can help students and researchers read—that is, extract the essential, most important information from—visualization research papers. [ABSTRACT FROM PUBLISHER]

This special section of the IEEE Transactions on Visualization and Computer Graphics (IEEE TVCG) presents the five most highly rated papers from the 2022 IEEE Pacific Visualization Symposium (IEEE PacificVis). This year, IEEE PacificVis was scheduled to be hosted by the University of Tsukuba and held in Tsukuba, Japan, from April 11 to 14, 2022. IEEE PacificVis, sponsored by the IEEE Visualization and Graphics Technical Committee (VGTC), aims to foster greater exchange between visualization researchers and practitioners, especially in the Asia-Pacific region. This forum has grown to be a truly international event, attracting submissions and attendees from many countries in the Asia-Pacific, Europe, America, and beyond. Thus, IEEE PacificVis is serving the additional purposes of sharing the latest advances in visualization with researchers and practitioners in the region and introducing research developments in the region to the broader international visualization research community. [ABSTRACT FROM AUTHOR]

In this special issue of IEEE Transactions on Visualization and Computer Graphics (TVCG), we are pleased to present the TVCG papers from the 19th IEEE International Symposium on Mixed and Augmented Reality (ISMAR 2020), which had been originally planned to hold in Recife/Porto de Galinhas, Brazil. In order to preserve the safety and well-being of all participants under the global pandemic of COVID-19, ISMAR 2020 will be held as a virtual conference between November 9 and 13, 2020. ISMAR continues the over twenty year long tradition of IWAR, ISMR, and ISAR, and is undoubtedly the premier conference for Mixed and Augmented Reality in the world. [ABSTRACT FROM AUTHOR]

Textures contain a wealth of image information and are widely used in various fields such as computer graphics and computer vision. With the development of machine learning, the texture synthesis and generation have been greatly improved. As a very common element in everyday life, wallpapers contain a wealth of texture information, making it difficult to annotate with a simple single label. Moreover, wallpaper designers spend significant time to create different styles of wallpaper. For this purpose, this paper proposes to describe wallpaper texture images by using multi-label semantics. Based on these labels and generative adversarial networks, we present a framework for perception driven wallpaper texture generation and style transfer. In this framework, a perceptual model is trained to recognize whether the wallpapers produced by the generator network are sufficiently realistic and have the attribute designated by given perceptual description; these multi-label semantic attributes are treated as condition variables to generate wallpaper images. The generated wallpaper images can be converted to those with well-known artist styles using CycleGAN. Finally, using the aesthetic evaluation method, the generated wallpaper images are quantitatively measured. The experimental results demonstrate that the proposed method can generate wallpaper textures conforming to human aesthetics and have artistic characteristics. [ABSTRACT FROM AUTHOR]

Welcome to the November 2022 issue of the IEEE Transactions on Visualization and Computer Graphics (TVCG). This issue contains selected papers accepted at the IEEE International Symposium on Mixed and Augmented Reality (ISMAR). The conference took place in Singapore from October 17-22,2022 in hybrid mode. [ABSTRACT FROM AUTHOR]

Welcome to the 11 th IEEE Transactions on Visualization and Computer Graphics (TVCG) special issue on IEEE Virtual Reality and 3D User Interfaces. This volume contains a total of 29 full papers selected for and presented at the IEEE Conference on Virtual Reality and 3D User Interfaces (IEEE VR 2022), held fully virtual in Christchurch, New Zealand from March 12 to 16, 2022. [ABSTRACT FROM AUTHOR]

A call for papers on computer graphics and applications is presented.

In this special issue of IEEE Transactions on Visualization and Computer Graphics (TVCG), we are pleased to present the TVCG papers from the 17th IEEE International Symposium on Mixed and Augmented Reality (ISMAR 2018), held October 16–20 in Munich, Germany. ISMAR continues the 20-year long tradition of IWAR, ISMR, and ISAR, and is undoubtedly the premier conference for mixed and augmented reality in the world. [ABSTRACT FROM AUTHOR]

The apers in this special issue were presented at the 2013 IEEE Virtual Reality Conference held March 16-20, 2013, in Orlando, Florida. [ABSTRACT FROM PUBLISHER]

Call for Papers [ABSTRACT FROM PUBLISHER]

This section calls for papers about three-dimensional graphics.

A call for papers related to the Web and interactive three-dimensional (3D) graphics for the magazine's November/December 2012 issue is presented.

The article announces the call for papers for the September/October 2012 issue of "IEEE Computer Graphics and Applications."

The article presents calls for papers that examine advances related to extreme-scale visual analytic problems, its analytical and computational challenges and applications to the real world.

The five papers in this special section were from the 2020 IEEE Pacific Visualization Symposium (IEEE PacificVis), which was scheduled to be hosted by Tianjin University and held in Tianjin, China, from April 14 to 17, 2020. [ABSTRACT FROM AUTHOR]

The article announces "IEEE Computer Graphics and Applications" magazine's call for contributions that cover all aspects of scattering in graphics, ranging from physically based or physically inspired methods to artistic tools and nonphotorealistic applications.

An introduction is presented in which the editor discusses articles in the issue on the topics including introduce novel computational methods that exploit non-traditional sensors; propose novel sensors and acquisition systems; and leverage visual measurements made by unconventional sensors.

Rendering participating media is important to the creation of photorealistic images. Participating media has a translucent aspect that comes from light being scattered inside the material. For materials with a small mean-free-path (mfp), multiple scattering effects dominate. Simulating these effects is computationally intensive, as it requires tracking a large number of scattering events inside the material. Existing approaches precompute multiple scattering events inside the material and store the results in a table. During rendering time, this table is used to compute the scattering effects. While these methods are faster than explicit scattering computation, they incur higher storage costs. In this paper, we present a new representation for double and multiple scattering effects that uses a neural network model. The scattering response from all homogeneous participating media is encoded into a neural network in a preprocessing step. At run time, the neural network is then used to predict the double and multiple scattering effects. We demonstrate the effects combined with Virtual Ray Lights (VRL), although our approach can be integrated with other rendering algorithms. Our algorithm is implemented on GPU. Double and multiple scattering effects for the entire participating media space are encoded using only 23.6 KB of memory. Our method achieves 50 ms per frame in typical scenes and provides results almost identical to the reference. [ABSTRACT FROM AUTHOR]

During the detailed design phase of an aerospace program, one of the most important consistency checks is to ensure that no two distinct objects occupy the same physical space. Since exact geometrical modeling is usually intractable, geometry models are discretized, which often introduces small interferences not present in the fully detailed model. In this paper, we focus on computing the depth of the interference, so that these false positive interferences can be removed, and attention can be properly focused on the actual design. Specifically, we focus on efficiently computing the penetration depth between two polyhedra, which is a well-studied problem in the computer graphics community. We formulate the problem as a constrained five-variable global optimization problem, and then derive an equivalent unconstrained, two-variable nonsmooth problem. To solve the optimization problem, we apply a popular stochastic multistart optimization algorithm in a novel way, which exploits the advantages of each problem formulation simultaneously. Numerical results for the algorithm, applied to 14 randomly generated pairs of penetrating polytopes, illustrate both the effectiveness and efficiency of the method. [ABSTRACT FROM AUTHOR]

With the prevalence of embedded GPUs on mobile devices, power-efficient rendering has become a widespread concern for graphics applications. Reducing the power consumption of rendering applications is critical for extending battery life. In this paper, we present a new real-time power-budget rendering system to meet this need by selecting the optimal rendering settings that maximize visual quality for each frame under a given power budget. Our method utilizes two independent neural networks trained entirely by synthesized datasets to predict power consumption and image quality under various workloads. This approach spares time-consuming precomputation or runtime periodic refitting and additional error computation. We evaluate the performance of the proposed framework on different platforms, two desktop PCs and two smartphones. Results show that compared to the previous state of the art, our system has less overhead and better flexibility. Existing rendering engines can integrate our system with negligible costs. [ABSTRACT FROM AUTHOR]

Image smoothing is a fundamental procedure in applications of both computer vision and graphics. The required smoothing properties can be different or even contradictive among different tasks. Nevertheless, the inherent smoothing nature of one smoothing operator is usually fixed and thus cannot meet the various requirements of different applications. In this paper, we first introduce the truncated Huber penalty function which shows strong flexibility under different parameter settings. A generalized framework is then proposed with the introduced truncated Huber penalty function. When combined with its strong flexibility, our framework is able to achieve diverse smoothing natures where contradictive smoothing behaviors can even be achieved. It can also yield the smoothing behavior that can seldom be achieved by previous methods, and superior performance is thus achieved in challenging cases. These together enable our framework capable of a range of applications and able to outperform the state-of-the-art approaches in several tasks, such as image detail enhancement, clip-art compression artifacts removal, guided depth map restoration, image texture removal, etc. In addition, an efficient numerical solution is provided and its convergence is theoretically guaranteed even the optimization framework is non-convex and non-smooth. A simple yet effective approach is further proposed to reduce the computational cost of our method while maintaining its performance. The effectiveness and superior performance of our approach are validated through comprehensive experiments in a range of applications. Our code is available at https://github.com/wliusjtu/Generalized-Smoothing-Framework . [ABSTRACT FROM AUTHOR]

Welcome to the 10th IEEE Transactions on Visualization and Computer Graphics (TVCG) special issue on IEEE Virtual Reality and 3D User Interfaces. This volume contains a total of 25 full papers selected for and presented at the IEEE Conference on Virtual Reality and 3D User Interfaces (IEEE VR 2021), held fully virtual from March 27 to April 3, 2021. [ABSTRACT FROM AUTHOR]

Welcome to the 9th IEEE Transactions on Visualization and Computer Graphics (TVCG) special issue on IEEE Virtual Reality and 3D User Interfaces. This volume contains a total of 29 full papers selected for and presented at the IEEE Conference on Virtual Reality and 3D User Interfaces (IEEE VR 2020) held in Atlanta, United States on March 22–26, 2020. Founded in 1993, IEEE VR has a long tradition as the premier venue where new research results in the field of Virtual Reality (VR) are presented. With the emergence of VR as a major technology in a diverse set of fields, such as entertainment, education, data analytics, artificial intelligence, medicine, construction, training, and many others, the papers presented at IEEE VR and published in the IEEE TVCG VR special issue mark a major highlight of the year. [ABSTRACT FROM AUTHOR]

General Submissions: Besides our special issues, CG&A is always looking for papers on general subjects related to the theory and practice of computer graphics and interactive visualization. Currently, our submission-to-publication time is six months or less dependent on manuscript quality ... For more information, view our author guidelines at www.computer.org/portal/ web/peerreviewmagazines/accga . Special Issue on Visual-Computing Challenges of Manufacturing and Making for Industry 4.0, Future Factories, and New Foundries: Final submissions due: 1 July 2014; Publication date: Mar./Apr. 2015. Special Issue on Natural User Interfaces for Adjustable Autonomy in Robot Control: Final submissions due: 1 Sept. 2014; Publication date: May/June 2015. Special Issue on Personal Visualization and Personal Visual Analytics: Final submissions due: 1 Nov. 2014; Publication date: July 2015. [ABSTRACT FROM PUBLISHER]