Now showing items 201-220 of 267

    • Gradient Outlier Removal for Gradient-Domain Path Tracing 

      Ha, Saerom; Oh, Sojin; Back, Jonghee; Yoon, Sung-Eui; Moon, Bochang (The Eurographics Association and John Wiley & Sons Ltd., 2019)
      We present a new outlier removal technique for a gradient-domain path tracing (G-PT) that computes image gradients as well as colors. Our approach rejects gradient outliers whose estimated errors are much higher than those ...
    • Neural BTF Compression and Interpolation 

      Rainer, Gilles; Jakob, Wenzel; Ghosh, Abhijeet; Weyrich, Tim (The Eurographics Association and John Wiley & Sons Ltd., 2019)
      The Bidirectional Texture Function (BTF) is a data-driven solution to render materials with complex appearance. A typical capture contains tens of thousands of images of a material sample under varying viewing and lighting ...
    • Deep Video-Based Performance Cloning 

      Aberman, Kfir; Shi, Mingyi; Liao, Jing; Lischinski, Dani; Chen, Baoquan; Cohen-Or, Daniel (The Eurographics Association and John Wiley & Sons Ltd., 2019)
      We present a new video-based performance cloning technique. After training a deep generative network using a reference video capturing the appearance and dynamics of a target actor, we are able to generate videos where ...
    • Clear Skies Ahead: Towards Real-Time Automatic Sky Replacement in Video 

      Halperin, Tavi; Cain, Harel; Bibi, Ofir; Werman, Michael (The Eurographics Association and John Wiley & Sons Ltd., 2019)
      Digital videos such as those captured by a smartphone often exhibit exposure inconsistencies, a poorly exposed sky, or simply suffer from an uninteresting or plain looking sky. Professionals may edit these videos using ...
    • Deep HDR Video from Sequences with Alternating Exposures 

      Kalantari, Nima Khademi; Ramamoorthi, Ravi (The Eurographics Association and John Wiley & Sons Ltd., 2019)
      A practical way to generate a high dynamic range (HDR) video using off-the-shelf cameras is to capture a sequence with alternating exposures and reconstruct the missing content at each frame. Unfortunately, existing ...
    • Character Navigation in Dynamic Environments Based on Optical Flow 

      López, Axel; Francois, Chaumette; Marchand, Eric; Pettré, Julien (The Eurographics Association and John Wiley & Sons Ltd., 2019)
      Steering and navigation are important components of character animation systems to enable them to autonomously move in their environment. In this work, we propose a synthetic vision model that uses visual features to steer ...
    • Learning to Importance Sample in Primary Sample Space 

      Zheng, Quan; Zwicker, Matthias (The Eurographics Association and John Wiley & Sons Ltd., 2019)
      Importance sampling is one of the most widely used variance reduction strategies in Monte Carlo rendering. We propose a novel importance sampling technique that uses a neural network to learn how to sample from a desired ...
    • Accurate Synthesis of Multi-Class Disk Distributions 

      Ecormier-Nocca, Pierre; Memari, Pooran; Gain, James; Cani, Marie-Paule (The Eurographics Association and John Wiley & Sons Ltd., 2019)
      While analysing and synthesising 2D distributions of points has been applied both to the generation of textures with discrete elements and for populating virtual worlds with 3D objects, the results are often inaccurate ...
    • A Low-Dimensional Function Space for Efficient Spectral Upsampling 

      Jakob, Wenzel; Hanika, Johannes (The Eurographics Association and John Wiley & Sons Ltd., 2019)
      We present a versatile technique to convert textures with tristimulus colors into the spectral domain, allowing such content to be used in modern rendering systems. Our method is based on the observation that suitable ...
    • Exact Constraint Satisfaction for Truly Seamless Parametrization 

      Mandad, Manish; Campen, Marcel (The Eurographics Association and John Wiley & Sons Ltd., 2019)
      In the field of global surface parametrization a recent focus has been on so-called seamless parametrization. This term refers to parametrization approaches which, while using an atlas of charts to enable the handling of ...
    • Elastic Correspondence between Triangle Meshes 

      Ezuz, Danielle; Heeren, Behrend; Azencot, Omri; Rumpf, Martin; Ben-Chen, Mirela (The Eurographics Association and John Wiley & Sons Ltd., 2019)
      We propose a novel approach for shape matching between triangular meshes that, in contrast to existing methods, can match crease features. Our approach is based on a hybrid optimization scheme, that solves simultaneously ...
    • A Subspace Method for Fast Locally Injective Harmonic Mapping 

      Hefetz, Eden Fedida; Chien, Edward; Weber, Ofir (The Eurographics Association and John Wiley & Sons Ltd., 2019)
      We present a fast algorithm for low-distortion locally injective harmonic mappings of genus 0 triangle meshes with and without cone singularities. The algorithm consists of two portions, a linear subspace analysis and ...
    • Hierarchical Rasterization of Curved Primitives for Vector Graphics Rendering on the GPU 

      Dokter, Mark; Hladký, Jozef; Parger, Mathias; Schmalstieg, Dieter; Seidel, Hans-Peter; Steinberger, Markus (The Eurographics Association and John Wiley & Sons Ltd., 2019)
      In this paper, we introduce the CPatch, a curved primitive that can be used to construct arbitrary vector graphics. A CPatch is a generalization of a 2D polygon: Any number of curves up to a cubic degree bound a primitive. ...
    • StyleBlit: Fast Example-Based Stylization with Local Guidance 

      Sýkora, Daniel; Jamriška, Ondrej; Texler, Ondrej; Fišer, Jakub; Lukác, Mike; Lu, Jingwan; Shechtman, Eli (The Eurographics Association and John Wiley & Sons Ltd., 2019)
      We present StyleBlit-an efficient example-based style transfer algorithm that can deliver high-quality stylized renderings in real-time on a single-core CPU. Our technique is especially suitable for style transfer applications ...
    • Latent Space Physics: Towards Learning the Temporal Evolution of Fluid Flow 

      Wiewel, Steffen; Becher, Moritz; Thuerey, Nils (The Eurographics Association and John Wiley & Sons Ltd., 2019)
      We propose a method for the data-driven inference of temporal evolutions of physical functions with deep learning. More specifically, we target fluid flow problems, and we propose a novel LSTM-based approach to predict the ...
    • Deep Fluids: A Generative Network for Parameterized Fluid Simulations 

      Kim, Byungsoo; Azevedo, Vinicius C.; Thuerey, Nils; Kim, Theodore; Gross, Markus; Solenthaler, Barbara (The Eurographics Association and John Wiley & Sons Ltd., 2019)
      This paper presents a novel generative model to synthesize fluid simulations from a set of reduced parameters. A convolutional neural network is trained on a collection of discrete, parameterizable fluid simulation velocity ...
    • A Geometrically Consistent Viscous Fluid Solver with Two-Way Fluid-Solid Coupling 

      Takahashi, Tetsuya; Lin, Ming C. (The Eurographics Association and John Wiley & Sons Ltd., 2019)
      We present a grid-based fluid solver for simulating viscous materials and their interactions with solid objects. Our method formulates the implicit viscosity integration as a minimization problem with consistently estimated ...
    • Dual Sheet Meshing: An Interactive Approach to Robust Hexahedralization 

      Takayama, Kenshi (The Eurographics Association and John Wiley & Sons Ltd., 2019)
      The combinatorial dual of a hex mesh induces a collection of mutually intersecting surfaces (dual sheets). Inspired by Campen et al.'s work on quad meshing [CBK12,CK14], we propose to directly generate such dual sheets so ...
    • String-Based Synthesis of Structured Shapes 

      Kalojanov, Javor; Lim, Isaak; Mitra, Niloy; Kobbelt, Leif (The Eurographics Association and John Wiley & Sons Ltd., 2019)
      We propose a novel method to synthesize geometric models from a given class of context-aware structured shapes such as buildings and other man-made objects. The central idea is to leverage powerful machine learning methods ...
    • Local Editing of Procedural Models 

      Lipp, Markus; Specht, Matthias; Lau, Cheryl; Wonka, Peter; Mueller, Pascal (The Eurographics Association and John Wiley & Sons Ltd., 2019)
      Procedural modeling is used across many industries for rapid 3D content creation. However, professional procedural tools often lack artistic control, requiring manual edits on baked results, diminishing the advantages of ...