Eurographics Conferences: Recent submissions

Now showing items 181-200 of 2886

    • 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 ...

    • 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 ...

    • 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 ...

    • 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 ...

    • Fitness of General-Purpose Monocular Depth Estimation Architectures for Transparent Structures 

      Wirth, Tristan; Jamili, Aria; Buelow, Max von; Knauthe, Volker; Guthe, Stefan (The Eurographics Association, 2022)
      Due to material properties, monocular depth estimation of transparent structures is inherently challenging. Recent advances leverage additional knowledge that is not available in all contexts, i.e., known shape or depth ...

    • 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 ...

    • Improved Lighting Models for Facial Appearance Capture 

      Xu, Yingyan; Riviere, Jérémy; Zoss, Gaspard; Chandran, Prashanth; Bradley, Derek; Gotardo, Paulo (The Eurographics Association, 2022)
      Facial appearance capture techniques estimate geometry and reflectance properties of facial skin by performing a computationally intensive inverse rendering optimization in which one or more images are re-rendered a large ...

    • 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 ...

    • 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 ...

    • EUROGRAPHICS 2022: Posters Frontmatter 

      Sauvage, Basile; Hasic-Telalovic, Jasminka (The Eurographics Association, 2022)

    • 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 ...

    • 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. ...

    • 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 ...

    • 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 ...

    • 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) ...

    • 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 ...

    • 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 ...

    • 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 ...

    • 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 ...

    • 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 ...