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AccuStripes: Visual exploration and comparison of univariate data distributions using color and binning Comput. Graph. (IF 2.5) Pub Date : 2024-03-12 Anja Heim, Alexander Gall, Manuela Waldner, Eduard Gröller, Christoph Heinzl
Understanding and analyzing univariate distributions of data in terms of their shapes as well as their specific characteristics, regarding gaps, spikes, or outliers, is crucial in many scientific disciplines. In this paper, we propose a design space composed of the visual channels position and color for representing accumulated distributions. The designs are a mixture of color-coded stripes with density
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Improving cognitive-state analysis from eye gaze with synthetic eye-movement data Comput. Graph. (IF 2.5) Pub Date : 2024-03-04 Paul Prasse, David R. Reich, Silvia Makowski, Tobias Scheffer, Lena A. Jäger
Eye movements can be used to analyze a viewer’s cognitive capacities or mental state. Neural networks that process the raw eye-tracking signal can outperform methods that operate on scan paths preprocessed into fixations and saccades. However, the scarcity of such data poses a major challenge. We therefore develop SP-EyeGAN, a neural network that generates synthetic raw eye-tracking data. SP-EyeGAN
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SparseSoftDECA — Efficient high-resolution physics-based facial animation from sparse landmarks Comput. Graph. (IF 2.5) Pub Date : 2024-03-01 Wagner Nicolas, Schwanecke Ulrich, Botsch Mario
Facial animation on computationally limited systems still heavily relies on linear blendshape models. Nonetheless, these models exhibit common issues like volume loss, self-collisions, and inaccuracies in soft tissue elasticity. Furthermore, personalizing blendshapes models demands significant effort, but there are limited options for simulating or manipulating physical and anatomical characteristics
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HPNet: High precision point cloud registration using feature pyramid and hybrid position encoding Comput. Graph. (IF 2.5) Pub Date : 2024-03-01 Jiangxia Wei, Lan Cheng, Zhimin Hu, Mifeng Ren, Xinying Xu, Gaowei Yan
Point cloud registration precision degrades when the scene contains symmetric structures or repeated patches. Also, the common operation of continuous downsampling in existing registration methods causes the loss of detailed information and leads to further registration precision degradation. In this paper, we propose a high precision point cloud registration network (HPNet) to learn discriminative
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GO: A two-step generative optimization method for point cloud registration Comput. Graph. (IF 2.5) Pub Date : 2024-02-29 Yan Zhao, Jiahui Deng, Feihong Liu, Wen Tang, Jun Feng
Point cloud registration aligns point clouds through transformation or deformation. The existing advanced registration methods perform poorly in registering under various perturbations, especially for large rotations and small overlaps. Moreover, these methods cannot achieve rigid and non-rigid registrations simultaneously. In this paper, we propose a two-step generative optimization (GO) method to
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Anonymizing eye-tracking stimuli with stable diffusion Comput. Graph. (IF 2.5) Pub Date : 2024-02-27 Kuno Kurzhals
Casual users nowadays can create almost arbitrary image content by providing textual prompts to generative machine-learning models. These models rapidly improve image quality with each new generation, providing means to create photos, paintings in different styles, and even videos. One feature of such models is the ability to take an image as input and adjust content according to a prompt. A visual
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The impact of motion features of hand-drawn lines on emotional expression: An experimental study Comput. Graph. (IF 2.5) Pub Date : 2024-02-24 Yunhui Lin, Guoying Yang, Yuefeng Ze, Lekai Zhang, Baixi Xing, Xinya Liu, Ruimin Lyu
With the advancement of human–computer interaction technology, the exploration of human emotional expression has become a hot topic in the fields of art and design. This study is dedicated to delving into the critical role of motion features of hand-drawn lines in emotional expression. Previous research has extensively focused on the relationship between the static features of lines and emotions, often
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Learning subsurface scattering solutions of tightly-packed granular media using optimal transport Comput. Graph. (IF 2.5) Pub Date : 2024-02-16 Domenic Zingsheim, Reinhard Klein
Many materials, such as sand, rice, wheat, or other kinds of seeds, consist of numerous individual grains that determine the visual appearance of these materials. When generating images of these mixtures, the primary challenge is to simulate the interaction of light with each individual grain. While subsurface scattering effects are crucial for producing realistic images, the computation of light transport
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A single 3D shape wavelet-based generative model Comput. Graph. (IF 2.5) Pub Date : 2024-02-15 Hao Huang, Shuaihang Yuan, Zheng Peng, Yu Hao, Congcong Wen, Yi Fang
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The Salient360! toolbox: Handling gaze data in 3D made easy Comput. Graph. (IF 2.5) Pub Date : 2024-02-13 Erwan David, Jesús Gutiérrez, Melissa Lè-Hoa Võ, Antoine Coutrot, Matthieu Perreira Da Silva, Patrick Le Callet
Eye tracking has historically been a very popular tool. The data it records allow us to understand how people behave and what they attend to within our visual world; under this perspective the experiments, applications and use-cases are endless. Therefore, it is not surprising to witness a strong rise in the use of eXtended Reality (XR) devices with embedded eye trackers in research. These devices
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Structerf-SLAM: Neural implicit representation SLAM for structural environments Comput. Graph. (IF 2.5) Pub Date : 2024-02-08 Haocheng Wang, Yanlong Cao, Xiaoyao Wei, Yejun Shou, Lingfeng Shen, Zhijie Xu, Kai Ren
In recent years, research on simultaneous localization and mapping (SLAM) using neural implicit representation has shown promising outcomes due to its smooth mapping and low memory consumption, particularly suitable for structured environments with limited boundaries. However, there is currently no implicit SLAM that can effectively utilize prior structural constraints to accurately build 3D maps.
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3DPMesh: An enhanced and novel approach for the reconstruction of 3D human meshes from a single 2D image Comput. Graph. (IF 2.5) Pub Date : 2024-02-07 Mohit Kushwaha, Jaytrilok Choudhary, Dhirendra Pratap Singh
Currently, virtual reality, the gaming industry, cloth parsing, surveillance and security systems, and avatars have gained much interest in computer vision. To fulfil the growing demand in this field, an accurate 3D human mesh plays an important role. We proposed a novel approach, 3DPMesh, to reconstruct more accurate 3D meshes for humans from a single 2D image. stands for ose estimation, ose enhancement
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Towards mitigating uncann(eye)ness in face swaps via gaze-centric loss terms Comput. Graph. (IF 2.5) Pub Date : 2024-02-06 Ethan Wilson, Frederick Shic, Sophie Jörg, Eakta Jain
Advances in face swapping have enabled the automatic generation of highly realistic faces. Yet face swaps are perceived differently than when looking at real faces, with key differences in viewer behavior surrounding the eyes. Face swapping algorithms generally place no emphasis on the eyes, relying on pixel or feature matching losses that consider the entire face to guide the training process. We
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An emotional crowd simulation method based on audiovisual linkage for terrorist attacks Comput. Graph. (IF 2.5) Pub Date : 2024-02-06 Zhuang Wang, Zhen Liu, Tingting Liu, Yumeng Zhao, Yanjie Chai
In terrorist attacks, crowd emotions have a significant impact on the evacuation process. The current researches of crowd emotion model are of great importance in formulating emergency plans. However, existing crowd emotional models do not describe the perceptual process in detail. They overlook the audiovisual linkage (AVL), and do not demonstrate head-turning behaviors in evacuation simulation. We
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Does fiducial marker visibility impact task performance and information processing in novice and low-time pilots? Comput. Graph. (IF 2.5) Pub Date : 2024-02-05 Naila Ayala, Diako Mardanbegi, Abdullah Zafar, Ewa Niechwiej-Szwedo, Shi Cao, Suzanne Kearns, Elizabeth Irving, Andrew T. Duchowski
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TextStyler: A CLIP-based approach to text-guided style transfer Comput. Graph. (IF 2.5) Pub Date : 2024-02-03 Yichun Wu, Huihuang Zhao, Wenhui Chen, Yunfei Yang, Jiayi Bu
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Visual feedback and guided balance training in an immersive virtual reality environment for lower extremity rehabilitation Comput. Graph. (IF 2.5) Pub Date : 2024-02-02 Sydney Segear, Vuthea Chheang, Lauren Baron, Jicheng Li, Kangsoo Kim, Roghayeh Leila Barmaki
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Personality perception in human videos altered by motion transfer networks Comput. Graph. (IF 2.5) Pub Date : 2024-02-01 Ayda Yurtoğlu, Sinan Sonlu, Yalım Doğan, Uğur Güdükbay
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Advanced liver surgery training in collaborative VR environments Comput. Graph. (IF 2.5) Pub Date : 2024-02-01 Vuthea Chheang, Danny Schott, Patrick Saalfeld, Lukas Vradelis, Tobias Huber, Florentine Huettl, Hauke Lang, Bernhard Preim, Christian Hansen
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An overlap estimation guided feature metric approach for real point cloud registration Comput. Graph. (IF 2.5) Pub Date : 2024-01-30 Fukai Zhang, Lulu Zhang, Tiancheng He, Yiran Sun, Shan Zhao, Yanmei Zhang, Xueliang Zhao, Weiye Zhao
Real point cloud registration, involving homologous and cross-source 3D data, poses significant challenges such as partial overlap, high noise, density disparities, and scale variations. In this paper, we introduce a framework called OEFM to guide transform estimation on the basis of feature metrics through overlap estimation with overlap region center weighting, which estimates transform parameters
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Design and evaluation of UltRASim: An immersive simulator for learning ultrasound-guided regional anesthesia basic skills Comput. Graph. (IF 2.5) Pub Date : 2024-01-29 Cassandre Simon, Lucas Herfort, Flavien Lebrun, Elsa Brocas, Samir Otmane, Amine Chellali
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Contextual Ambient Occlusion: A volumetric rendering technique that supports real-time clipping Comput. Graph. (IF 2.5) Pub Date : 2024-01-29 Andrey Titov, Marta Kersten-Oertel, Simon Drouin
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A survey of efficient fine-tuning methods for Vision-Language Models — Prompt and Adapter Comput. Graph. (IF 2.5) Pub Date : 2024-01-29 JiaLu Xing, JianPing Liu, Jian Wang, LuLu Sun, Xi Chen, XunXun Gu, YingFei Wang
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Can engineers represent surgeons in usability studies? Comparison of results from evaluating augmented reality guidance for laparoscopic surgery Comput. Graph. (IF 2.5) Pub Date : 2024-01-28 Soojeong Yoo, João Ramalhinho, Thomas Dowrick, Murali Somasundaram, Kurinchi Gurusamy, Brian Davidson, Matthew J. Clarkson, Ann Blandford
Obtaining feedback from time-constrained end-users is a major challenge in evaluating novel systems for specialised applications. The performance and feedback of engineers and surgeons was evaluated through an experiment where participants were asked to identify tumour locations within an anatomically realistic silicon liver model across three different conditions of an Augmented Reality (AR) prototype
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DEUNet: Dual-encoder UNet for simultaneous denosing and reconstruction of single HDR image Comput. Graph. (IF 2.5) Pub Date : 2024-01-28 Zhiping Yao, Jiang Bi, Wei Deng, Wenlin He, Zihan Wang, Xu Kuang, Mi Zhou, Qinquan Gao, Tong Tong
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Image-based reconstruction of heterogeneous media in the presence of multiple light-scattering Comput. Graph. (IF 2.5) Pub Date : 2024-01-17 Ludwic Leonard, Rüdiger Westermann
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STSR-INR: Spatiotemporal super-resolution for multivariate time-varying volumetric data via implicit neural representation Comput. Graph. (IF 2.5) Pub Date : 2024-01-16 Kaiyuan Tang, Chaoli Wang
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Mixed reality human teleoperation with device-agnostic remote ultrasound: Communication and user interaction Comput. Graph. (IF 2.5) Pub Date : 2024-01-10 David Black, Mika Nogami, Septimiu Salcudean
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Edit propagation via color palettes Comput. Graph. (IF 2.5) Pub Date : 2024-01-08 Zi-Xun Xia, Jian-Yu Hao, Kang Li, Ao-Xiang Tian, Zheng-Jun Du
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Voting-based patch sequence autoregression network for adaptive point cloud completion Comput. Graph. (IF 2.5) Pub Date : 2023-12-26 Hang Wu, Yubin Miao
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Frequency-aware network for low-light image enhancement Comput. Graph. (IF 2.5) Pub Date : 2023-12-29 Kai Shang, Mingwen Shao, Yuanjian Qiao, Huan Liu
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Dual-resolution transformer combined with multi-layer separable convolution fusion network for real-time semantic segmentation Comput. Graph. (IF 2.5) Pub Date : 2023-12-29 Kaidi Hu, Zongxia Xie, Qinghua Hu
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Neural inverse procedural modeling of knitting yarns from images Comput. Graph. (IF 2.5) Pub Date : 2023-12-27 Elena Trunz, Jonathan Klein, Jan Müller, Lukas Bode, Ralf Sarlette, Michael Weinmann, Reinhard Klein
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Developing an immersive virtual farm simulation for engaging and effective public education about the dairy industry Comput. Graph. (IF 2.5) Pub Date : 2023-12-26 Anh Nguyen, Michael Francis, Emma Windfeld, Guillaume Lhermie, Kangsoo Kim
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Local geometry-perceptive mesh convolution with multi-ring receptive field Comput. Graph. (IF 2.5) Pub Date : 2023-12-22 Shanghuan Liu, Xunhao Chen, Shaoyan Gai, Feipeng Da
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Visual cues in VR for guiding attention vs. restoring attention after a short distraction Comput. Graph. (IF 2.5) Pub Date : 2023-12-20 Jason W. Woodworth, Christoph W. Borst
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Human image animation via semantic guidance Comput. Graph. (IF 2.5) Pub Date : 2023-12-20 Congwei Guo, Yongken Ke, Zhenkai Wan, Minrui Jia, Kai Wang, Shuai Yang
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Foreword to the special section on 3D object retrieval 2023 symposium (3DOR2023) Comput. Graph. (IF 2.5) Pub Date : 2023-12-13 Silvia Biasotti, Mohamed Daoudi, Ulderico Fugacci, Guillaume Lavoué, Remco C. Veltkamp
Abstract not available
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Accurate and robust registration of low overlapping point clouds Comput. Graph. (IF 2.5) Pub Date : 2023-12-13 Jieyin Yang, Mingyang Zhao, Yingrui Wu, Xiaohong Jia
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Linear time manageable edge-aware filtering on complementary tree structures Comput. Graph. (IF 2.5) Pub Date : 2023-12-12 Penghui Bu, Hang Wang, Tao Yang, Hong Zhao
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3D face reconstruction from a single image based on hybrid-level contextual information with weak supervision Comput. Graph. (IF 2.5) Pub Date : 2023-12-06 Yang Liu, Teng Ran, Liang Yuan, Kai Lv, Guoquan Zheng
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Image smoothing combining edge-consistency with region-piecewise flatting Comput. Graph. (IF 2.5) Pub Date : 2023-12-09 Jianwu Long, Chen Zhang
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RepDehazeNet: Dual subnets image dehazing network based on structural re-parameterization Comput. Graph. (IF 2.5) Pub Date : 2023-12-05 Xiaozhong Luo, Han Zhong, Junjie Lu, Chen Meng, Xu Han
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Efficient ray sampling for radiance fields reconstruction Comput. Graph. (IF 2.5) Pub Date : 2023-11-24 Shilei Sun, Ming Liu, Zhongyi Fan, Qingliang Jiao, Yuxue Liu, Liquan Dong, Lingqin Kong
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GMM-ICQ: A GMM vertex-optimization-based implicitly-connected quadrilateral format for 3D mesh storage Comput. Graph. (IF 2.5) Pub Date : 2023-11-22 Dayong Lin, Chunhui Zhao, Qihang Tian, Yunfei Xu, Ruilin Wang, Zonghua Qu
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α-Curves: Extended log-aesthetic curves with variable shape parameter Comput. Graph. (IF 2.5) Pub Date : 2023-11-25 Shoichi Tsuchie, Norimasa Yoshida
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Foreword to the special section on SIBGRAPI 2022 tutorials Comput. Graph. (IF 2.5) Pub Date : 2023-11-19 Leandro A.F. Fernandes, Rafael Piccin Torchelsen
Abstract not available
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LS-MVSNet: Lightweight self-supervised multi-view stereo Comput. Graph. (IF 2.5) Pub Date : 2023-11-04 Houxuan Liu, Xiao Han, Lu Yang
In recent years, significant progress has been made in multi-view stereo through the adoption of learning-based methods. However, current state-of-the-art approaches exhibit high computational and memory costs, owing to their reliance on semantic segmentation networks, neural rendering, and other advanced technologies for enhancing the accuracy of depth map prediction. To improve the efficiency of
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NOVAction23: Addressing the data diversity gap by uniquely generated synthetic sequences for real-world human action recognition Comput. Graph. (IF 2.5) Pub Date : 2023-11-07 Ali Egemen Tasoren, Ufuk Celikcan
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Gaze-directed and saliency-guided approaches of stereo camera control in interactive virtual reality Comput. Graph. (IF 2.5) Pub Date : 2023-11-07 Berk Cebeci, Mehmet Bahadir Askin, Tolga K. Capin, Ufuk Celikcan
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Foreword to the special section on emerging computer graphics Comput. Graph. (IF 2.5) Pub Date : 2023-11-03 Fotis Liarokapis, Yiorgos Chrysanthou
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Pervasive Augmented Reality to support real-time data monitoring in industrial scenarios: Shop floor visualization evaluation and user study Comput. Graph. (IF 2.5) Pub Date : 2023-10-31 Rafael Maio, Tiago Araújo, Bernardo Marques, André Santos, Pedro Ramalho, Duarte Almeida, Paulo Dias, Beatriz Sousa Santos
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Weighted guided image filtering with entropy evaluation weighting Comput. Graph. (IF 2.5) Pub Date : 2023-10-27 Hongbin Jia, Qingbo Yin, Mingyu Lu
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The role of different light settings on the perception of realism in virtual replicas in immersive Virtual Reality Comput. Graph. (IF 2.5) Pub Date : 2023-10-28 Guilherme Gonçalves, Miguel Melo, Pedro Monteiro, Hugo Coelho, Maximino Bessa
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An overview of Eulerian video motion magnification methods Comput. Graph. (IF 2.5) Pub Date : 2023-10-27 Ahmed Mohamed Ahmed, Mohamed Abdelrazek, Sunil Aryal, Thanh Thi Nguyen
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Relevance gradient descent for parameter optimization of image enhancement Comput. Graph. (IF 2.5) Pub Date : 2023-10-26 Yunbo Rao, Yuling Yi, Obed Tettey Nartey, Saeed Ullah Jan
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Comparative study of interaction methods for mobile gaming while running on a treadmill Comput. Graph. (IF 2.5) Pub Date : 2023-10-26 Carlos Marín-Lora, Miguel Chover, Micaela Y. Martín, Linda García-Rytman
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EPCS: Endpoint-based part-aware curve skeleton extraction for low-quality point clouds Comput. Graph. (IF 2.5) Pub Date : 2023-10-26 Chunhui Li, Mingquan Zhou, Guohua Geng, Yifei Xie, Yuhe Zhang, Yangyang Liu
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Shape-A-Getti: A haptic device for getting multiple shapes using a simple actuator Comput. Graph. (IF 2.5) Pub Date : 2023-10-20 Filipe Barbosa, Daniel Mendes, Rui Rodrigues
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Exploring the repair process of a 3D printer using augmented reality-based guidance Comput. Graph. (IF 2.5) Pub Date : 2023-10-21 Sławomir K. Tadeja, Luca O. Solari Bozzi, Kerr D.G. Samson, Sebastian W. Pattinson, Thomas Bohné