Now showing items 1-20 of 297

    • PAVED: Pareto Front Visualization for Engineering Design 

      Cibulski, Lena; Mitterhofer, Hubert; May, Thorsten; Kohlhammer, Jörn (The Eurographics Association and John Wiley & Sons Ltd., 2020)
      Design problems in engineering typically involve a large solution space and several potentially conflicting criteria. Selecting a compromise solution is often supported by optimization algorithms that compute hundreds of ...
    • Fiber Surfaces for many Variables 

      Blecha, Christian; Raith, Felix; Präger, Arne Jonas; Nagel, Thomas; Kolditz, Olaf; Maßmann, Jobst; Röber, Niklas; Böttinger, Michael; Scheuermann, Gerik (The Eurographics Association and John Wiley & Sons Ltd., 2020)
      Scientific visualization deals with increasingly complex data consisting of multiple fields. Typical disciplines generating multivariate data are fluid dynamics, structural mechanics, geology, bioengineering, and climate ...
    • Local Bases for Model-reduced Smoke Simulations 

      Mercier, Olivier; Nowrouzezahrai, Derek (The Eurographics Association and John Wiley & Sons Ltd., 2020)
      We present a flexible model reduction method for simulating incompressible fluids.We derive a novel vector field basis composed of localized basis flows which have simple analytic forms and can be tiled on regular lattices, ...
    • Fast and Robust QEF Minimization using Probabilistic Quadrics 

      Trettner, Philip; Kobbelt, Leif (The Eurographics Association and John Wiley & Sons Ltd., 2020)
      Error quadrics are a fundamental and powerful building block in many geometry processing algorithms. However, finding the minimizer of a given quadric is in many cases not robust and requires a singular value decomposition ...
    • Automatic Band-Limited Approximation of Shaders Using Mean-Variance Statistics in Clamped Domain 

      Li, Shi; Wang, Rui; Huo, Yuchi; Zheng, Wenting; Hua, Wei; Bao, Hujun (The Eurographics Association and John Wiley & Sons Ltd., 2020)
      In this paper, we present a new shader smoothing method to improve the quality and generality of band-limiting shader programs. Previous work [YB18] treats intermediate values in the program as random variables, and utilizes ...
    • SEEVis: A Smart Emergency Evacuation Plan Visualization System with Data-Driven Shot Designs 

      Li, Quan; Liu, Yingjie J.; Chen, Li; Yang, Xingchao C.; Peng, Yi; Yuan, Xiaoru R.; Wijerathne, Maddegedara Lalith Lakshman (The Eurographics Association and John Wiley & Sons Ltd., 2020)
      Despite the significance of tracking human mobility dynamics in a large-scale earthquake evacuation for an effective first response and disaster relief, the general understanding of evacuation behaviors remains limited. ...
    • EUROGRAPHICS 2020: CGF 39-2 Frontmatter 

      Assarsson, Ulf; Panozzo, Daniele (The Eurographics Association and John Wiley & Sons Ltd., 2020)
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    • High-Resolution Neural Face Swapping for Visual Effects 

      Naruniec, Jacek; Helminger, Leonhard; Schroers, Christopher; Weber, Romann M. (The Eurographics Association and John Wiley & Sons Ltd., 2020)
      In this paper, we propose an algorithm for fully automatic neural face swapping in images and videos. To the best of our knowledge, this is the first method capable of rendering photo-realistic and temporally coherent ...
    • Fast Out-of-Core Octree Generation for Massive Point Clouds 

      Schütz, Markus; Ohrhallinger, Stefan; Wimmer, Michael (The Eurographics Association and John Wiley & Sons Ltd., 2020)
      We propose an efficient out-of-core octree generation method for arbitrarily large point clouds. It utilizes a hierarchical counting sort to quickly split the point cloud into small chunks, which are then processed in ...
    • A Cross‐Dimension Annotations Method for 3D Structural Facial Landmark Extraction 

      Gong, Xun; Chen, Ping; Zhang, Zhemin; Chen, Ke; Xiang, Yue; Li, Xin (© 2020 Eurographics ‐ The European Association for Computer Graphics and John Wiley & Sons Ltd, 2020)
      Recent methods for 2D facial landmark localization perform well on close‐to‐frontal faces, but 2D landmarks are insufficient to represent 3D structure of a facial shape. For applications that require better accuracy, such ...
    • Set Streams: Visual Exploration of Dynamic Overlapping Sets 

      Agarwal, Shivam; Beck, Fabian (The Eurographics Association and John Wiley & Sons Ltd., 2020)
      In many applications, membership of set elements changes over time. Since each element can be present in multiple sets, the sets also overlap. As a result, it becomes challenging to visualize the temporal change in set ...
    • DockVis: Visual Analysis of Molecular Docking Trajectories 

      Furmanová, Katarína; Vávra, Ondřej; Kozlíková, Barbora; Damborský, Jiří; Vonásek, Vojtěch; Bednář, David; Byška, Jan (© 2020 Eurographics ‐ The European Association for Computer Graphics and John Wiley & Sons Ltd, 2020)
      Computation of trajectories for ligand binding and unbinding via protein tunnels and channels is important for predicting possible protein–ligand interactions. These highly complex processes can be simulated by several ...
    • ALLSTEPS: Curriculum-driven Learning of Stepping Stone Skills 

      Xie, Zhaoming; Ling, Hung Yu; Kim, Nam Hee; Panne, Michiel van de (The Eurographics Association and John Wiley & Sons Ltd., 2020)
      Humans are highly adept at walking in environments with foot placement constraints, including stepping-stone scenarios where footstep locations are fully constrained. Finding good solutions to stepping-stone locomotion is ...
    • DFR: Differentiable Function Rendering for Learning 3D Generation from Images 

      Wu, Yunjie; Sun, Zhengxing (The Eurographics Association and John Wiley & Sons Ltd., 2020)
      Learning-based 3D generation is a popular research field in computer graphics. Recently, some works adapted implicit function defined by a neural network to represent 3D objects and have become the current state-of-the-art. ...
    • Example‐Based Colourization Via Dense Encoding Pyramids 

      Xiao, Chufeng; Han, Chu; Zhang, Zhuming; Qin, Jing; Wong, Tien‐Tsin; Han, Guoqiang; He, Shengfeng (© 2020 Eurographics ‐ The European Association for Computer Graphics and John Wiley & Sons Ltd, 2020)
      We propose a novel deep example‐based image colourization method called dense encoding pyramid network. In our study, we define the colourization as a multinomial classification problem. Given a greyscale image and a ...
    • Compressed Neighbour Lists for SPH 

      Band, Stefan; Gissler, Christoph; Teschner, Matthias (© 2020 Eurographics ‐ The European Association for Computer Graphics and John Wiley & Sons Ltd, 2020)
      We propose a novel compression scheme to store neighbour lists for iterative solvers that employ Smoothed Particle Hydrodynamics (SPH). The compression scheme is inspired by Stream VByte, but uses a non‐linear mapping from ...
    • Semi-Supervised 3D Shape Recognition via Multimodal Deep Co-training 

      Song, Mofei; Liu, Yu; Liu, Xiao Fan (The Eurographics Association and John Wiley & Sons Ltd., 2020)
      3D shape recognition has been actively investigated in the field of computer graphics. With the rapid development of deep learning, various deep models have been introduced and achieved remarkable results. Most 3D shape ...
    • Motion Retargetting based on Dilated Convolutions and Skeleton-specific Loss Functions 

      Kim, SangBin; Park, Inbum; Kwon, Seongsu; Han, JungHyun (The Eurographics Association and John Wiley & Sons Ltd., 2020)
      Motion retargetting refers to the process of adapting the motion of a source character to a target. This paper presents a motion retargetting model based on temporal dilated convolutions. In an unsupervised manner, the ...
    • Unsupervised Image Reconstruction for Gradient-Domain Volumetric Rendering 

      Xu, Zilin; Sun, Qiang; Wang, Lu; Xu, Yanning; Wang, Beibei (The Eurographics Association and John Wiley & Sons Ltd., 2020)
      Gradient-domain rendering can highly improve the convergence of light transport simulation using the smoothness in image space. These methods generate image gradients and solve an image reconstruction problem with rendered ...
    • Evaluating Reordering Strategies for Cluster Identification in Parallel Coordinates 

      Blumenschein, Michael; Zhang, Xuan; Pomerenke, David; Keim, Daniel A.; Fuchs, Johannes (The Eurographics Association and John Wiley & Sons Ltd., 2020)
      The ability to perceive patterns in parallel coordinates plots (PCPs) is heavily influenced by the ordering of the dimensions. While the community has proposed over 30 automatic ordering strategies, we still lack empirical ...