Now showing items 1-9 of 9

    • Improving Spectral Upsampling with Fluorescence 

      König, Lars; Jung, Alisa; Dachsbacher, Carsten (The Eurographics Association, 2020)
      Modern photorealistic rendering simulates spectral behaviour of light. Since many assets are still created in different RGB color spaces, spectral upsampling of the RGB colors to a spectral representation is required to ...
    • Procedural Physically based BRDF for Real-Time Rendering of Glints 

      Chermain, Xavier; Sauvage, Basile; Dischler, Jean-Michel; Dachsbacher, Carsten (The Eurographics Association and John Wiley & Sons Ltd., 2020)
      Physically based rendering of glittering surfaces is a challenging problem in computer graphics. Several methods have proposed off-line solutions, but none is dedicated to high-performance graphics. In this work, we propose ...
    • Rendering 2020 CGF 39-4: Frontmatter 

      Dachsbacher, Carsten; Pharr, Matt (The Eurographics Association and John Wiley & Sons Ltd., 2020)
    • Rendering 2020 DL Track: Frontmatter 

      Dachsbacher, Carsten; Pharr, Matt (The Eurographics Association, 2020)
    • Spectral Mollification for Bidirectional Fluorescence 

      Jung, Alisa; Hanika, Johannes; Dachsbacher, Carsten (The Eurographics Association and John Wiley & Sons Ltd., 2020)
      Fluorescent materials can shift energy between wavelengths, thereby creating bright and saturated colors both in natural and artificial materials. However, rendering fluorescence for continuous wavelengths or combined with ...
    • Temporal Normal Distribution Functions 

      Tessari, Lorenzo; Hanika, Johannes; Dachsbacher, Carsten; Droske, Marc (The Eurographics Association, 2020)
      Specular aliasing can make seemingly simple scenes notoriously hard to render efficiently: small geometric features with high curvature and near specular reflectance result in tiny lighting features which are difficult to ...
    • Temporal Sample Reuse for Next Event Estimation and Path Guiding for Real-Time Path Tracing 

      Dittebrandt, Addis; Hanika, Johannes; Dachsbacher, Carsten (The Eurographics Association, 2020)
      Good importance sampling is crucial for real-time path tracing where only low sample budgets are possible. We present two efficient sampling techniques tailored for massively-parallel GPU path tracing which improve next ...
    • Versatile Geometric Flow Visualization by Controllable Shape and Volumetric Appearance 

      Zeidan, Mahmoud; Peters, Christoph; Rapp, Tobias; Dachsbacher, Carsten (The Eurographics Association, 2022)
      We present a novel visualization technique for geometry-based visualization of vector fields. Our approach generalizes and combines several existing approaches in a flexible framework using a scalable GPU-accelerated ...
    • Visualizing Transport and Mixing in Particle-based Fluid Flows 

      Rapp, Tobias; Dachsbacher, Carsten (The Eurographics Association, 2019)
      To gain insight into large, time-dependent particle-based fluid flows, we visually analyze Lagrangian coherent structures (LCS), a robust skeleton of the underlying particle dynamics. To identify these coherent structures, ...