Now showing items 10-22 of 22

    • Learning Generic Local Shape Properties for Adaptive Super-Sampling 

      Reinbold, Christian; Westermann, Rüdiger (The Eurographics Association, 2022)
      We propose a novel encoder/decoder-based neural network architecture that learns view-dependent shape and appearance of geometry represented by voxel representations. Since the network is trained on local geometry patches, ...
    • Neural Motion Compression with Frequency-adaptive Fourier Feature Network 

      Tojo, Kenji; Chen, Yifei; Umetani, Nobuyuki (The Eurographics Association, 2022)
      We present a neural-network-based compression method to alleviate the storage cost of motion capture data. Human motions such as locomotion, often consist of periodic movements. We leverage this periodicity by applying ...
    • NeuralMLS: Geometry-Aware Control Point Deformation 

      Shechter, Meitar; Hanocka, Rana; Metzer, Gal; Giryes, Raja; Cohen-Or, Daniel (The Eurographics Association, 2022)
      We introduce NeuralMLS, a space-based deformation technique, guided by a set of displaced control points. We leverage the power of neural networks to inject the underlying shape geometry into the deformation parameters. ...
    • Procedural Bridges-and-pillars Support Generation 

      Freire, Marco; Hornus, Samuel; Perchy, Salim; Lefebvre, Sylvain (The Eurographics Association, 2022)
      Additive manufacturing requires support structures to fabricate parts with overhangs. In this paper, we revisit a known support structure based on bridges-and-pillars (see Figure 1). The support structures are made of ...
    • Quick Cone Map Generation on the GPU 

      Valasek, Gábor; Bán, Róbert (The Eurographics Association, 2022)
      We propose an efficient conservative cone map generation algorithm that has T(N^2 logN) complexity for textures of dimension N ×N in contrast to the T(N^4) complexity of brute-force approaches. This is achieved by using a ...
    • Real-Time Path-Guiding Based on Parametric Mixture Models 

      Derevyannykh, Mikhail (The Eurographics Association, 2022)
      Path-Guiding algorithms for sampling scattering directions can drastically decrease the variance of Monte Carlo estimators of Light Transport Equation, but their production usage was limited to offline rendering because ...
    • Real-time Sponge and Fluid Simulation 

      Burkus, Viktória; Kárpáti, Attila; Klár, Gergely; Szécsi, László (The Eurographics Association, 2022)
      In this paper we present an approach to couple PBD simulation of deformable porous objects with SPH. We propose solutions for simulating the absorption and discharge of fluid by the sponge, and the effect of the fluid on ...
    • Resolving Non-Manifoldness on Meshes from Dual Marching Cubes 

      Zint, Daniel; Grosso, Roberto; Gürtler, Philipp (The Eurographics Association, 2022)
      There are several methods that reconstruct surfaces from volume data by generating triangle or quad meshes on the dual of the uniform grid. Those methods often provide meshes with better quality than the famous marching ...
    • Robust Sample Budget Allocation for MIS 

      Szirmay-Kalos, László; Sbert, Mateu (The Eurographics Association, 2022)
      Multiple Importance Sampling (MIS) combines several sampling techniques. Its weighting scheme depends on how many samples are generated with each particular method. This paper examines the optimal determination of the ...
    • Scene Synthesis with Automated Generation of Textual Descriptions 

      Müller-Huschke, Julian; Ritter, Marcel; Harders, Matthias (The Eurographics Association, 2022)
      Most current research on automatically captioning and describing scenes with spatial content focuses on images. We outline that generating descriptive text for a synthesized 3D scene can be achieved via a suitable intermediate ...
    • Simple Techniques for a Novel Human Body Pose Optimisation Using Differentiable Inverse Rendering 

      Battogtokh, Munkhtulga; Borgo, Rita (The Eurographics Association, 2022)
      Human body 3D reconstruction has a wide range of applications including 3D-printing, art, games, and even technical sport analysis. This is a challenging problem due to 2D ambiguity, diversity of human poses, and costs in ...
    • Stochastic Light Culling for Single Scattering in Participating Media 

      Fujieda, Shin; Tokuyoshi, Yusuke; Harada, Takahiro (The Eurographics Association, 2022)
      We introduce a simple but efficient method to compute single scattering from point and arbitrarily shaped area light sources in participating media. Our method extends the stochastic light culling method to volume rendering ...
    • Transparent Rendering and Slicing of Integral Surfaces Using Per-primitive Interval Arithmetic 

      Aydinlilar, Melike; Zanni, Cédric (The Eurographics Association, 2022)
      We present a method for efficient incorporation of integral surfaces within existing robust processing methods such as interval arithmetic and segment-tracing. We based our approach on high-level knowledge of the field ...