Now showing items 6-19 of 19

    • HandFlow: Quantifying View-Dependent 3D Ambiguity in Two-Hand Reconstruction with Normalizing Flow 

      Wang, Jiayi; Luvizon, Diogo; Mueller, Franziska; Bernard, Florian; Kortylewski, Adam; Casas, Dan; Theobalt, Christian (The Eurographics Association, 2022)
      Reconstructing two-hand interactions from a single image is a challenging problem due to ambiguities that stem from projective geometry and heavy occlusions. Existing methods are designed to estimate only a single pose, ...
    • Honeycomb Plots: Visual Enhancements for Hexagonal Maps 

      Trautner, Thomas; Sbardellati, Maximilian; Stoppel, Sergej; Bruckner, Stefan (The Eurographics Association, 2022)
      Aggregation through binning is a commonly used technique for visualizing large, dense, and overplotted two-dimensional data sets. However, aggregation can hide nuanced data-distribution features and complicates the display ...
    • Interactive Segmentation of Textured Point Clouds 

      Schmitz, Patric; Suder, Sebastian; Schuster, Kersten; Kobbelt, Leif (The Eurographics Association, 2022)
      We present a method for the interactive segmentation of textured 3D point clouds. The problem is formulated as a minimum graph cut on a k-nearest neighbor graph and leverages the rich information contained in high-resolution ...
    • Local Attention Guided Joint Depth Upsampling 

      Mallick, Arijit; Engelhardt, Andreas; Braun, Raphael; Lensch, Hendrik P. A. (The Eurographics Association, 2022)
      Image super resolution is a classical computer vision problem. A branch of super resolution tasks deals with guided depth super resolution as objective. Here, the goal is to accurately upsample a given low resolution depth ...
    • A Moving Least Squares Material Point Method for Varied Porous Material Interactions and Non-sticky Coupling of Phases 

      Nilles, Alexander Maximilian; Müller, Stefan (The Eurographics Association, 2022)
      The Material Point Method (MPM) has become very popular in computer graphics due to its capability to handle a variety of materials and ease of coupling for multi-material simulations. However, MPM suffers from numerical ...
    • Neural Adaptive Scene Tracing (NAScenT) 

      Li, Rui; Rückert, Darius; Wang, Yuanhao; Idoughi, Ramzi; Heidrich, Wolfgang (The Eurographics Association, 2022)
      Neural rendering with implicit neural networks has recently emerged as an attractive proposition for scene reconstruction, achieving excellent quality albeit at high computational cost. While the most recent generation of ...
    • An Overview of Techniques for Egocentric Black Hole Visualization and Their Suitability for Planetarium Applications 

      Hissbach, Anny-Marleen; Dick, Christian; Lawonn, Kai (The Eurographics Association, 2022)
      The visualization of black holes is used in science communication to educate people about our universe and concepts of general relativity. Recent visualizations aim to depict black holes in realtime, overcoming the challenge ...
    • Real-Time Caustics Using Cascaded Image-Space Photon Tracing 

      Meenrattanakorn, Krittin; Lambers, Martin (The Eurographics Association, 2022)
      Caustics are formed when transparent or specular materials focus many light rays onto confined areas. Such effects are among the most challenging optical effects to render. Typical path tracing algorithms need many light ...
    • Relaxed Parallel Priority Queue with Filter Levels for Parallel Mesh Decimation 

      Stümmel, Marvin; Brüll, Felix; Grosch, Thorsten (The Eurographics Association, 2022)
      We propose a novel implementation of a parallel priority queue in the context of multithreaded mesh decimation. Previous parallel priority queues either have a major bottleneck when extracting nodes, cannot guarantee ...
    • Semi-Automatic Particle Tracking for and Visualization of Particle Detector Data 

      Eschbach, Robin; Messerschmidt, Kai; Keidel, Ralf; Wiebel, Alexander (The Eurographics Association, 2022)
      In high energy physics, tracking particles in point-based particle detector data is important to reconstruct the particles' trajectories. As the numbers of particles can be in the hundreds or over a thousand, automatic ...
    • Visualizing Optimizers using Chebyshev Proxies and Fatou Sets 

      Winchenbach, Rene; Thuerey, Nils (The Eurographics Association, 2022)
      With recent advances in optimization many different optimization approaches have been proposed, especially regarding the optimization of weights for neural networks. However, comparing these approaches in a visually succinct ...
    • Visualizing the Movement of Space-Defining Rotatable Elements in Architecture 

      Ehgartner, Ayumi; Hemmerling, Julia; Mosayebi, Elli; Günther, Tobias (The Eurographics Association, 2022)
      Space-defining rotatable architectural elements enable inhabitants to reshape the living space to their needs. In a field study, a prototype home was built that includes various multifunctional elements such as a rotatable ...
    • Visually Comparing Rendering Performance from Multiple Perspectives 

      Tarner, Hagen; Bruder, Valentin; Frey, Steffen; Ertl, Thomas; Beck, Fabian (The Eurographics Association, 2022)
      Evaluation of rendering performance is crucial when selecting or developing algorithms, but challenging as performance can largely differ across a set of selected scenarios. Despite this, performance metrics are often ...
    • VMV 2022: Frontmatter 

      Bender, Jan; Botsch, Mario; Keim, Daniel A. (The Eurographics Association, 2022)