Collections in this community

  • VMV10

    ISBN 978-3-905673-79-1
  • VMV11

    ISBN 978-3-905673-85-2
  • VMV12

    ISBN 978-3-905673-95-1
  • VMV13

    ISBN 978-3-905674-51-4
  • VMV14

    ISBN 978-3-905674-74-3
  • VMV15

    ISBN 978-3-905674-95-8
  • VMV16

    ISBN 978-3-03868-025-3
  • VMV17

    ISBN 978-3-03868-049-9
  • VMV18

    ISBN 978-3-03868-072-7
  • VMV19

    ISBN 978-3-03868-098-7
  • VMV2020

    ISBN 978-3-03868-123-6
  • VMV2021

    ISBN 978-3-03868-161-8
  • VMV2022

    ISBN 978-3-03868-189-2
  • VMV2023

    ISBN 978-3-03868-232-5

Recent Submissions

  • Uncertain Stream Lines 

    Zimmermann, Janos; Motejat, Michael; Rössl, Christian; Theisel, Holger (The Eurographics Association, 2023)
    We present a new approach for the visual representation of uncertain stream lines in vector field ensembles. While existing approaches rely on a particular seed point for the analysis of uncertain streamlines, our approach ...
  • Weighted Laplacian Smoothing for Surface Reconstruction of Particle-based Fluids 

    Löschner, Fabian; Böttcher, Timna; Rhys Jeske, Stefan; Bender, Jan (The Eurographics Association, 2023)
    In physically-based animation, producing detailed and realistic surface reconstructions for rendering is an important part of a simulation pipeline for particle-based fluids. In this paper we propose a post-processing ...
  • Consistent SPH Rigid-Fluid Coupling 

    Bender, Jan; Westhofen, Lukas; Rhys Jeske, Stefan (The Eurographics Association, 2023)
    A common way to handle boundaries in SPH fluid simulations is to sample the surface of the boundary geometry using particles. These boundary particles are assigned the same properties as the fluid particles and are considered ...
  • Exploring Physical Latent Spaces for High-Resolution Flow Restoration 

    Paliard, Chloé; Thuerey, Nils; Um, Kiwon (The Eurographics Association, 2023)
    We explore training deep neural network models in conjunction with physics simulations via partial differential equations (PDEs), using the simulated degrees of freedom as latent space for a neural network. In contrast to ...
  • Autonomous Particles for In-Situ-Friendly Flow Map Sampling 

    Wolligant, Steve; Rössl, Christian; Chi, Cheng; Thévenin, Dominique; Theisel, Holger (The Eurographics Association, 2023)
    Computing and storing flow maps is a common approach to processing and analyzing large flow simulations in a Lagrangian way. Accurate Lagrangian-based visualizations require a good sampling of the flow map. We present an ...
  • Out-of-Core Particle Tracing for Monte Carlo Rendering of Finite-Time Lyapunov Exponents 

    Grätz, Nicholas; Günther, Tobias (The Eurographics Association, 2023)
    The motion in time-dependent fluid flows is governed by Lagrangian coherent structures (LCS). One common approach to visualize hyperbolic LCS is to extract and visualize the finite-time Lyapunov exponent. Its visualization ...
  • Art-directable Stroke-based Rendering on Mobile Devices 

    Wagner, Ronja; Schulz, Sebastian; Reimann, Max; Semmo, Amir; Döllner, Jürgen; Trapp, Matthias (The Eurographics Association, 2023)
    This paper introduces an art-directable stroke-based rendering technique for transforming photos into painterly renditions on mobile devices. Unlike previous approaches that rely on time-consuming iterative computations ...
  • Optimizing Temporal Stability in Underwater Video Tone Mapping 

    Franz, Matthias; Thang, B. Matthias; Sackhoff, Pascal; Scholz, Timon; Möller, Jannis; Grogorick, Steve; Eisemann, Martin (The Eurographics Association, 2023)
    In this paper, we present an approach for temporal stabilization of depth-based underwater image tone mapping methods for application to monocular RGB video. Typically, the goal is to improve the colors of focused objects, ...
  • Leveraging BC6H Texture Compression and Filtering for Efficient Vector Field Visualization 

    Oehrl, Simon; Milke, Jan Frieder; Koenen, Jens; Kuhlen, Torsten W.; Gerrits, Tim (The Eurographics Association, 2023)
    The steady advance of compute hardware is accompanied by an ever-steeper amount of data to be processed for visualization. Limited memory bandwidth provides a significant bottleneck to the runtime performance of visualization ...
  • Video-Driven Animation of Neural Head Avatars 

    Paier, Wolfgang; Hinzer, Paul; Hilsmann, Anna; Eisert, Peter (The Eurographics Association, 2023)
    We present a new approach for video-driven animation of high-quality neural 3D head models, addressing the challenge of person-independent animation from video input. Typically, high-quality generative models are learned ...
  • MetaISP -- Exploiting Global Scene Structure for Accurate Multi-Device Color Rendition 

    Souza, Matheus; Heidrich, Wolfgang (The Eurographics Association, 2023)
    Image signal processors (ISPs) are historically grown legacy software systems for reconstructing color images from noisy raw sensor measurements. Each smartphone manufacturer has developed its ISPs with its own characteristic ...
  • Semantic Image Abstraction using Panoptic Segmentation for Robotic Painting 

    Stroh, Michael; Gülzow, Jörg-Marvin; Deussen, Oliver (The Eurographics Association, 2023)
    We propose a comprehensive pipeline for generating adaptable image abstractions from input pictures, tailored explicitly for robotic painting tasks. Our pipeline addresses several key objectives, including the ability to ...
  • Greedy Image Approximation for Artwork Generation via Contiguous Bézier Segments 

    Nehring-Wirxel, Julius; Lim, Isaak; Kobbelt, Leif (The Eurographics Association, 2023)
    The automatic creation of digital art has a long history in computer graphics. In this work, we focus on approximating input images to mimic artwork by the artist Kumi Yamashita, as well as the popular scribble art style. ...
  • Visual-assisted Outlier Preservation for Scatterplot Sampling 

    Yang, Haiyan; Pajarola, Renato (The Eurographics Association, 2023)
    Scatterplot sampling has long been an efficient and effective way to resolve the overplotting issues commonly occurring in large-scale scatterplot visualization applications. However, it is challenging to preserve the ...
  • Factors Influencing Visual Comparison of Colored Directed Acyclic Graphs 

    Graniczkowska, Cynthia; Pelchmann, Laura; Landesberger, Tatiana von; Pohl, Margit (The Eurographics Association, 2023)
    This paper presents a comprehensive investigation of the factors that influence visual comparison in colored node-link diagrams. We conducted a user study in which participants were asked to identify differences in pairs ...
  • Visually Analyzing Topic Change Points in Temporal Text Collections 

    Krause, Cedric; Rieger, Jonas; Flossdorf, Jonathan; Jentsch, Carsten; Beck, Fabian (The Eurographics Association, 2023)
    Texts are collected over time and reflect temporal changes in the themes that they cover. While some changes might slowly evolve, other changes abruptly surface as explicit change points. In an application study for a ...
  • On the Beat: Analysing and Evaluating Synchronicity in Dance Performances 

    Menzel, Malte; Tauscher, Jan-Philipp; Magnor, Marcus (The Eurographics Association, 2023)
    This paper presents a method to analyse and evaluate synchronicity in dance performances automatically. Synchronisation of a dancer's movement and the accompanying music is a vital characteristic of dance performances. We ...
  • Neural Fields for Interactive Visualization of Statistical Dependencies in 3D Simulation Ensembles 

    Farokhmanesh, Fatemeh; Höhlein, Kevin; Neuhauser, Christoph; Necker, Tobias; Weissmann, Martin; Miyoshi, Takemasa; Westermann, Rüdiger (The Eurographics Association, 2023)
    We present neural dependence fields (NDFs) - the first neural network that learns to compactly represent and efficiently reconstruct the statistical dependencies between the values of physical variables at different spatial ...
  • Perceptually Guided Automatic Parameter Optimization for Interactive Visualization 

    Opitz, Daniel; Zirr, Tobias; Dachsbacher, Carsten; Tessari, Lorenzo (The Eurographics Association, 2023)
    We propose a new reference-free method for automatically optimizing the parameters of visualization techniques such that the perception of visual structures is improved. Manual tuning may require domain knowledge not only ...
  • Interactions for Seamlessly Coupled Exploration of High-Dimensional Images and Hierarchical Embeddings 

    Vieth, Alexander; Lelieveldt, Boudewijn; Eisemann, Elmar; Vilanova, Anna; Höllt, Thomas (The Eurographics Association, 2023)
    High-dimensional images (i.e., with many attributes per pixel) are commonly acquired in many domains, such as geosciences or systems biology. The spatial and attribute information of such data are typically explored ...

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