Now showing items 1-19 of 19

    • A First Step Towards the Inference of Geological Topological Operations 

      Pascual, Romain; Belhaouari, Hakim; Arnould, Agnès; Le Gall, Pascale (The Eurographics Association, 2022)
      Procedural modeling enables building complex geometric objects and scenes in a wide panel of applications. The traditional approach relies on the sequential application of a reduced set of construction rules. We offer to ...
    • Consistent Multi- and Single-View HDR-Image Reconstruction from Single Exposures 

      Mohan, Aditya; Zhang, Jing; Cozot, Rémi; Loscos, Celine (The Eurographics Association, 2022)
      We propose a CNN-based approach for reconstructing HDR images from just a single exposure. It predicts the saturated areas of LDR images and then blends the linearized input with the predicted outputs. Two loss functions ...
    • Modeling and Enhancement of LiDAR Point Clouds from Natural Scenarios 

      Collado, José Antonio; López, Alfonso; Jiménez-Pérez, J. Roberto; Ortega, Lidia M.; Feito, Francisco R.; Jurado, Juan Manuel (The Eurographics Association, 2022)
      The generation of realistic natural scenarios is a longstanding and ongoing challenge in Computer Graphics. A common source of real-environmental scenarios is open point cloud datasets acquired by LiDAR (Laser Imaging ...
    • 3D Human Shape and Pose from a Single Depth Image with Deep Dense Correspondence Enabled Model Fitting 

      Wang, Xiaofang; Boukhayma, Adnane; Prévost, Stéphanie; Desjardin, Eric; Loscos, Celine; Multon, Franck (The Eurographics Association, 2022)
      We propose a two-stage hybrid method, with no initialization, for 3D human shape and pose estimation from a single depth image, combining the benefits of deep learning and optimization. First, a convolutional neural network ...
    • Splash in a Flash: Sharpness-aware Minimization for Efficient Liquid Splash Simulation 

      Jetly, Vishrut; Ibayashi, Hikaru; Nakano, Aiichiro (The Eurographics Association, 2022)
      We present sharpness-aware minimization (SAM) for fluid dynamics which can efficiently learn the plausible dynamics of liquid splashes. Due to its ability to achieve robust and generalizing solutions, SAM efficiently ...
    • Fast and Fine Disparity Reconstruction for Wide-baseline Camera Arrays with Deep Neural Networks 

      Barrios, Théo; Gerhards, Julien; Prévost, Stéphanie; Loscos, Celine (The Eurographics Association, 2022)
      Recently, disparity-based 3D reconstruction for stereo camera pairs and light field cameras have been greatly improved with the uprising of deep learning-based methods. However, only few of these approaches address ...
    • Neural Denoising for Spectral Monte Carlo Rendering 

      Rouphael, Robin; Noizet, Mathieu; Prévost, Stéphanie; Deleau, Hervé; Steffenel, Luiz-Angelo; Lucas, Laurent (The Eurographics Association, 2022)
      Spectral Monte Carlo (MC) rendering is still to be largely adopted partially due to the specific noise, called color noise, induced by wavelength-dependent phenomenons. Motivated by the recent advances in Monte Carlo noise ...
    • View Dependent Decompression for Web-based Massive Triangle Meshes Visualisation 

      Cecchin, Alice; Du, Paul; Pastor, Mickaël; Agouzoul, Asma (The Eurographics Association, 2022)
      We introduce a framework extending an existing progressive compression-decompression algorithm for 3D triangular meshes. First, a mesh is partitioned. Each resulting part is compressed, then joined with one of its neighbours. ...
    • Fixed-radius Near Neighbors Searching for 2D Simulations on the GPU using Delaunay Triangulations 

      Porro, Heinich; Crespin, Benoît; Hitschfeld-Kahler, Nancy; Navarro, Cristobal (The Eurographics Association, 2022)
      We propose to explore a GPU solution to the fixed-radius nearest-neighbor problem in 2D based on Delaunay triangulations. This problem is crucial for many particle-based simulation techniques for collision detection or ...
    • Transfer Textures for Fast Precomputed Radiance Transfer 

      Dhawal, Sirikonda; Kt, Aakash; Narayanan, P. J. (The Eurographics Association, 2022)
      Precomputed Radiance Transfer (PRT) can achieve high-quality renders of glossy materials at real-time framerates. PRT involves precomputing a k-dimensional transfer vector or a k×k- matrix of Spherical Harmonic (SH) ...
    • EUROGRAPHICS 2022: Posters Frontmatter 

      Sauvage, Basile; Hasic-Telalovic, Jasminka (The Eurographics Association, 2022)
    • Seamless Compressed Textures 

      Maggiordomo, Andrea; Tarini, Marco (The Eurographics Association, 2022)
      We present an algorithm to hide discontinuity artifacts at seams in GPU compressed textures. Texture mapping requires UV-maps, and UV-maps (in general) require texture seams; texture seams (in general) cause small visual ...
    • Stroke based Painterly Inbetweening 

      Barroso, Nicolas; Fondevilla, Amélie; Vanderhaeghe, David (The Eurographics Association, 2022)
      Creating a 2D animation with visible strokes is a tedious and time consuming task for an artist. Computer aided animation usually focus on cartoon stylized rendering, or is built from an automatic process as 3D animations ...
    • Multimodal Early Raw Data Fusion for Environment Sensing in Automotive Applications 

      Pederiva, Marcelo Eduardo; Martino, José Mario De; Zimmer, Alessandro (The Eurographics Association, 2022)
      Autonomous Vehicles became every day closer to becoming a reality in ground transportation. Computational advancement has enabled powerful methods to process large amounts of data required to drive on streets safely. The ...
    • Geometric Deformation for Reducing Optic Flow and Cybersickness Dose Value in VR 

      Lou, Ruding; So, Richard H. Y.; Bechmann, Dominique (The Eurographics Association, 2022)
      Today virtual reality technologies is becoming more and more widespread and has found strong applications in various domains. However, the fear to experience motion sickness is still an important barrier for VR users. ...
    • RGB-D Neural Radiance Fields: Local Sampling for Faster Training 

      Dey, Arnab; Comport, Andrew I. (The Eurographics Association, 2022)
      Learning a 3D representation of a scene has been a challenging problem for decades in computer vision. Recent advancements in implicit neural representation from images using neural radiance fields(NeRF) have shown promising ...
    • Time Series AMR Data Representation for Out-of-core Interactive Visualization 

      Alexandre-Barff, Welcome; Deleau, Hervé; Sarton, Jonathan; Ledoux, Franck; Lucas, Laurent (The Eurographics Association, 2022)
      Time-varying Adaptive Mesh Refinement (AMR) data have become an essential representation for 3D numerical simulations in many scientific fields. This observation is even more relevant considering that the data volumetry ...
    • Hermite Interpolation of Heightmaps 

      Bán, Róbert; Valasek, Gábor (The Eurographics Association, 2022)
      Heightmaps are ubiquitous in real-time computer graphics. They are used to describe geometric detail over an underlying coarser surface. Various techniques, such as parallax occlusion mapping and relief mapping, use heightmap ...
    • SIG-based Curve Reconstruction 

      Marin, Diana; Ohrhallinger, Stefan; Wimmer, Michael (The Eurographics Association, 2022)
      We introduce a new method to compute the shape of an unstructured set of two-dimensional points. The algorithm exploits the to-date rarely used proximity-based graph called spheres-of-influence graph (SIG). We filter edges ...