Now showing items 21-25 of 25

    • On Learning the Best Local Balancing Strategy 

      Murray, David; Benzait, Sofiane; Pacanowski, Romain; Granier, Xavier (The Eurographics Association, 2020)
      Fast computation of light propagation using Monte Carlo techniques requires finding the best samples from the space of light paths. For the last 30 years, numerous strategies have been developed to address this problem but ...
    • Multisample Anti-aliasing in Deferred Rendering 

      Fridvalszky, András; Tóth, Balázs (The Eurographics Association, 2020)
      We propose a novel method for multisample anti-aliasing in deferred shading. Our technique successfully reduces memory and bandwidth usage. The new model uses per-pixel linked lists to store the samples. We also introduce ...
    • Learning Body Shape and Pose from Dense Correspondences 

      Yoshiyasu, Yusuke; Gamez, Lucas (The Eurographics Association, 2020)
      In this paper, we address the problem of learning 3D human pose and body shape from 2D image dataset, without having to use 3D supervisions (body shape and pose) which are in practice difficult to obtain. The idea is to ...
    • Conservative Ray Batching using Geometry Proxies 

      Molenaar, Mathijs; Eisemann, Elmar (The Eurographics Association, 2020)
      We present a method for improving batched ray traversal as was presented by Pharr et al. [PKGH97]. We propose to use conservative proxy geometry to more accurately determine whether a ray has a possibility of hitting any ...
    • ScagnosticsJS: Extended Scatterplot Visual Features for the Web 

      Pham, Vung; Dang, Tommy (The Eurographics Association, 2020)
      Scagnostics is a set of features that characterizes the data distribution in a scatterplot. These visual features have been used in various applications to detect unusual correlations of bivariate data. However, there is ...