Now showing items 125-144 of 267

    • Kyrix: Interactive Pan/Zoom Visualizations at Scale 

      Tao, Wenbo; Liu, Xiaoyu; Wang, Yedi; Battle, Leilani; Demiralp, Çagatay; Chang, Remco; Stonebraker, Michael (The Eurographics Association and John Wiley & Sons Ltd., 2019)
      Pan and zoom are basic yet powerful interaction techniques for exploring large datasets. However, existing zoomable UI toolkits such as Pad++ and ZVTM do not provide the backend database support and data-driven primitives ...
    • Latent Space Cartography: Visual Analysis of Vector Space Embeddings 

      Liu, Yang; Jun, Eunice; Li, Qisheng; Heer, Jeffrey (The Eurographics Association and John Wiley & Sons Ltd., 2019)
      Latent spaces-reduced-dimensionality vector space embeddings of data, fit via machine learning-have been shown to capture interesting semantic properties and support data analysis and synthesis within a domain. Interpretation ...
    • 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 ...
    • Latent-space Dynamics for Reduced Deformable Simulation 

      Fulton, Lawson; Modi, Vismay; Duvenaud, David; Levin, David I. W.; Jacobson, Alec (The Eurographics Association and John Wiley & Sons Ltd., 2019)
      We propose the first reduced model simulation framework for deformable solid dynamics using autoencoder neural networks. We provide a data-driven approach to generating nonlinear reduced spaces for deformation dynamics. ...
    • Learned Fitting of Spatially Varying BRDFs 

      Merzbach, Sebastian; Hermann, Max; Rump, Martin; Klein, Reinhard (The Eurographics Association and John Wiley & Sons Ltd., 2019)
      The use of spatially varying reflectance models (SVBRDF) is the state of the art in physically based rendering and the ultimate goal is to acquire them from real world samples. Recently several promising deep learning ...
    • Learning a Generative Model for Multi-Step Human-Object Interactions from Videos 

      Wang, He; Pirk, Sören; Yumer, Ersin; Kim, Vladimir; Sener, Ozan; Sridhar, Srinath; Guibas, Leonidas (The Eurographics Association and John Wiley & Sons Ltd., 2019)
      Creating dynamic virtual environments consisting of humans interacting with objects is a fundamental problem in computer graphics. While it is well-accepted that agent interactions play an essential role in synthesizing ...
    • Learning A Stroke‐Based Representation for Fonts 

      Balashova, Elena; Bermano, Amit H.; Kim, Vladimir G.; DiVerdi, Stephen; Hertzmann, Aaron; Funkhouser, Thomas (© 2019 The Eurographics Association and John Wiley & Sons Ltd., 2019)
      Designing fonts and typefaces is a difficult process for both beginner and expert typographers. Existing workflows require the designer to create every glyph, while adhering to many loosely defined design suggestions to ...
    • Learning Explicit Smoothing Kernels for Joint Image Filtering 

      Fang, Xiaonan; Wang, Miao; Shamir, Ariel; Hu, Shi-Min (The Eurographics Association and John Wiley & Sons Ltd., 2019)
      Smoothing noises while preserving strong edges in images is an important problem in image processing. Image smoothing filters can be either explicit (based on local weighted average) or implicit (based on global optimization). ...
    • Learning Style Compatibility Between Objects in a Real-World 3D Asset Database 

      Liu, Yifan; Tang, Ruolan; Ritchie, Daniel (The Eurographics Association and John Wiley & Sons Ltd., 2019)
      Large 3D asset databases are critical for designing virtual worlds, and using them effectively requires techniques for efficient querying and navigation. One important form of query is search by style compatibility: given ...
    • 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 ...
    • Learning to Predict Image-based Rendering Artifacts with Respect to a Hidden Reference Image 

      Bemana, Mojtaba; Keinert, Joachim; Myszkowski, Karol; Bätz, Michel; Ziegler, Matthias; Seidel, Hans-Peter; Ritschel, Tobias (The Eurographics Association and John Wiley & Sons Ltd., 2019)
      Image metrics predict the perceived per-pixel difference between a reference image and its degraded (e. g., re-rendered) version. In several important applications, the reference image is not available and image metrics ...
    • Learning to Trace: Expressive Line Drawing Generation from Photographs 

      Inoue, Naoto; Ito, Daichi; Xu, Ning; Yang, Jimei; Price, Brian; Yamasaki, Toshihiko (The Eurographics Association and John Wiley & Sons Ltd., 2019)
      In this paper, we present a new computational method for automatically tracing high-resolution photographs to create expressive line drawings. We define expressive lines as those that convey important edges, shape contours, ...
    • Learning-Based Animation of Clothing for Virtual Try-On 

      Santesteban, Igor; Otaduy, Miguel A.; Casas, Dan (The Eurographics Association and John Wiley & Sons Ltd., 2019)
      This paper presents a learning-based clothing animation method for highly efficient virtual try-on simulation. Given a garment, we preprocess a rich database of physically-based dressed character simulations, for multiple ...
    • Light Field Video Compression and Real Time Rendering 

      Hajisharif, Saghi; Miandji, Ehsan; Larsson, Per; Tran, Kiet; Unger, Jonas (The Eurographics Association and John Wiley & Sons Ltd., 2019)
      Light field imaging is rapidly becoming an established method for generating flexible image based description of scene appearances. Compared to classical 2D imaging techniques, the angular information included in light ...
    • Lighting Layout Optimization for 3D Indoor Scenes 

      Jin, Sam; Lee, Sung-Hee (The Eurographics Association and John Wiley & Sons Ltd., 2019)
      As the number of models for 3D indoor scenes are increasing rapidly, methods for generating the lighting layout have also become increasingly important. This paper presents a novel method that creates optimal placements ...
    • Limit Shapes - A Tool for Understanding Shape Differences and Variability in 3D Model Collections 

      Huang, Ruqi; Achlioptas, Panos; Guibas, Leonidas; Ovsjanikov, Maks (The Eurographics Association and John Wiley & Sons Ltd., 2019)
      We propose a novel construction for extracting a central or limit shape in a shape collection, connected via a functional map network. Our approach is based on enriching the latent space induced by a functional map network ...
    • LinesLab: A Flexible Low‐Cost Approach for the Generation of Physical Monochrome Art 

      Stoppel, S.; Bruckner, S. (© 2019 Eurographics ‐ The European Association for Computer Graphics and John Wiley & Sons Ltd, 2019)
      The desire for the physical generation of computer art has seen a significant body of research that has resulted in sophisticated robots and painting machines, together with specialized algorithms mimicking particular ...
    • Linking and Layout: Exploring the Integration of Text and Visualization in Storytelling 

      Zhi, Qiyu; Ottley, Alvitta; Metoyer, Ronald (The Eurographics Association and John Wiley & Sons Ltd., 2019)
      Modern web technologies are enabling authors to create various forms of text visualization integration for storytelling. This integration may shape the stories' flow and thereby affect the reading experience. In this paper, ...
    • 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 ...
    • 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 ...