Now showing items 11-17 of 17

    • Ray Tracing Lossy Compressed Grid Primitives 

      Benthin, Carsten; Vaidyanathan, Karthik; Woop, Sven (The Eurographics Association, 2021)
      We propose a new watertight representation of geometry for ray tracing highly complex scenes in a memory efficient manner. Polygon meshes in the scene are first converted into compressed grid primitives, which are represented ...
    • Robust Image Denoising using Kernel Predicting Networks 

      Cai, Zhilin; Zhang, Yang; Manzi, Marco; Oztireli, Cengiz; Gross, Markus; Aydin, Tunç Ozan (The Eurographics Association, 2021)
      We present a new method for designing high quality denoisers that are robust to varying noise characteristics of input images. Instead of taking a conventional blind denoising approach or relying on explicit noise parameter ...
    • SoftWalks: Real-Time, Two-Ways Interaction between a Character and Loose Grounds 

      Paliard, Chloé; Alvarado, Eduardo; Rohmer, Damien; Cani, Marie-Paule (The Eurographics Association, 2021)
      When walking on loose terrains, possibly covered with vegetation, the ground and grass should deform, but the character's gait should also change accordingly.We propose a method for modeling such two-ways interactions in ...
    • Tight Normal Cone Merging for Efficient Collision Detection of Thin Deformable Objects 

      Han, Dong-Hoon; Lee, Chang-Jin; Lee, Sangbin; Ko, Hyeong-Seok (The Eurographics Association, 2021)
      When simulating thin deformable objects such as clothes, collision detection alone takes a lot of computation. One way of reducing the computation is culling false-positives as much as possible. In the context of bounding ...
    • Visual Analysis of Point Cloud Neighborhoods via Multi-Scale Geometric Measures 

      Ritter, Marcel; Schiffner, Daniel; Harders, Matthias (The Eurographics Association, 2021)
      Point sets are a widely used spatial data structure in computational and observational domains, e.g. in physics particle simulations, computer graphics or remote sensing. Algorithms typically operate in local neighborhoods ...
    • Visualising the Transition of Large Networks via Dimensionality Reduction to Illustrate the Evolution of the Human Brain 

      Ganglberger, Florian; Kaczanowska, Joanna; Haubensak, Wulf; Bühler, Katja (The Eurographics Association, 2021)
      Advances in high-throughput imaging techniques enable the creation of networks depicting spatio-temporal biological and neurophysiological processes with unprecedented size and magnitude. These networks involve thousands ...
    • Visualizing Errors in Rendered High Dynamic Range Images 

      Andersson, Pontus; Nilsson, Jim; Shirley, Peter; Akenine-Möller, Tomas (The Eurographics Association, 2021)
      A new error metric targeting rendered high dynamic range images is presented. Our method computes a composite visualization over a number of low dynamic range error maps of exposure compensated and tone mapped image pairs ...