Now showing items 1-20 of 48

    • Adversarial Single-Image SVBRDF Estimation with Hybrid Training 

      Zhou, Xilong; Kalantari, Nima Khademi (The Eurographics Association and John Wiley & Sons Ltd., 2021)
      In this paper, we propose a deep learning approach for estimating the spatially-varying BRDFs (SVBRDF) from a single image. Most existing deep learning techniques use pixel-wise loss functions which limits the flexibility ...
    • Automatic Surface Segmentation for Seamless Fabrication Using 4-axis Milling Machines 

      Nuvoli, Stefano; Tola, Alessandro; Muntoni, Alessandro; Pietroni, Nico; Gobbetti, Enrico; Scateni, Riccardo (The Eurographics Association and John Wiley & Sons Ltd., 2021)
      We introduce a novel geometry-processing pipeline to guide the fabrication of complex shapes from a single block of material using 4-axis CNC milling machines. This setup extends classical 3-axis CNC machining with an extra ...
    • Blue Noise Plots 

      Onzenoodt, Christian van; Singh, Gurprit; Ropinski, Timo; Ritschel, Tobias (The Eurographics Association and John Wiley & Sons Ltd., 2021)
      We propose Blue Noise Plots, two-dimensional dot plots that depict data points of univariate data sets. While often onedimensional strip plots are used to depict such data, one of their main problems is visual clutter which ...
    • Coherent Mark-based Stylization of 3D Scenes at the Compositing Stage 

      Garcia, Maxime; Vergne, Romain; Farhat, Mohamed-Amine; Bénard, Pierre; Noûs, Camille; Thollot, Joëlle (The Eurographics Association and John Wiley & Sons Ltd., 2021)
      We present a novel temporally coherent stylized rendering technique working entirely at the compositing stage. We first generate a distribution of 3D anchor points using an implicit grid based on the local object positions ...
    • Correlation-Aware Multiple Importance Sampling for Bidirectional Rendering Algorithms 

      Grittmann, Pascal; Georgiev, Iliyan; Slusallek, Philipp (The Eurographics Association and John Wiley & Sons Ltd., 2021)
      Combining diverse sampling techniques via multiple importance sampling (MIS) is key to achieving robustness in modern Monte Carlo light transport simulation. Many such methods additionally employ correlated path sampling ...
    • Curve Complexity Heuristic KD-trees for Neighborhood-based Exploration of 3D Curves 

      Lu, Yucheng; Cheng, Luyu; Isenberg, Tobias; Fu, Chi-Wing; Chen, Guoning; Liu, Hui; Deussen, Oliver; Wang, Yunhai (The Eurographics Association and John Wiley & Sons Ltd., 2021)
      We introduce the curve complexity heuristic (CCH), a KD-tree construction strategy for 3D curves, which enables interactive exploration of neighborhoods in dense and large line datasets. It can be applied to searches of ...
    • Cyclostationary Gaussian Noise: Theory and Synthesis 

      Lutz, Nicolas; Sauvage, Basile; Dischler, Jean-Michel (The Eurographics Association and John Wiley & Sons Ltd., 2021)
      Stationary Gaussian processes have been used for decades in the context of procedural noises to model and synthesize textures with no spatial organization. In this paper we investigate cyclostationary Gaussian processes, ...
    • Deep Detail Enhancement for Any Garment 

      Zhang, Meng; Wang, Tuanfeng; Ceylan, Duygu; Mitra, Niloy J. (The Eurographics Association and John Wiley & Sons Ltd., 2021)
      Creating fine garment details requires significant efforts and huge computational resources. In contrast, a coarse shape may be easy to acquire in many scenarios (e.g., via low-resolution physically-based simulation, linear ...
    • Deep HDR Estimation with Generative Detail Reconstruction 

      Zhang, Yang; Aydin, Tunc O. (The Eurographics Association and John Wiley & Sons Ltd., 2021)
      We study the problem of High Dynamic Range (HDR) image reconstruction from a Standard Dynamic Range (SDR) input with potential clipping artifacts. Instead of building a direct model that maps from SDR to HDR images as in ...
    • Enabling Viewpoint Learning through Dynamic Label Generation 

      Schelling, Michael; Hermosilla, Pedro; Vázquez, Pere-Pau; Ropinski, Timo (The Eurographics Association and John Wiley & Sons Ltd., 2021)
      Optimal viewpoint prediction is an essential task in many computer graphics applications. Unfortunately, common viewpoint qualities suffer from two major drawbacks: dependency on clean surface meshes, which are not always ...
    • EUROGRAPHICS 2021: CGF 40-2 Frontmatter 

      Mitra, Niloy; Viola, Ivan (The Eurographics Association and John Wiley & Sons Ltd., 2021)
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    • Fast Updates for Least-Squares Rotational Alignment 

      Zhang, Jiayi Eris; Jacobson, Alec; Alexa, Marc (The Eurographics Association and John Wiley & Sons Ltd., 2021)
      Across computer graphics, vision, robotics and simulation, many applications rely on determining the 3D rotation that aligns two objects or sets of points. The standard solution is to use singular value decomposition (SVD), ...
    • Geometric Construction of Auxetic Metamaterials 

      Bonneau, Georges-Pierre; Hahmann, Stefanie; Marku, Johana (The Eurographics Association and John Wiley & Sons Ltd., 2021)
      This paper is devoted to a category of metamaterials called auxetics, identified by their negative Poisson's ratio. Our work consists in exploring geometrical strategies to generate irregular auxetic structures. More ...
    • Hierarchical Raster Occlusion Culling 

      Lee, Gi Beom; Jeong, Moonsoo; Seok, Yechan; Lee, Sungkil (The Eurographics Association and John Wiley & Sons Ltd., 2021)
      This paper presents a scalable online occlusion culling algorithm, which significantly improves the previous raster occlusion culling using object-level bounding volume hierarchy. Given occluders found with temporal ...
    • Higher Dimensional Graphics: Conceiving Worlds in Four Spatial Dimensions and Beyond 

      Cavallo, Marco (The Eurographics Association and John Wiley & Sons Ltd., 2021)
      While the interpretation of high-dimensional datasets has become a necessity in most industries, the spatial visualization of higher-dimensional geometry has mostly remained a niche research topic for mathematicians and ...
    • Honey, I Shrunk the Domain: Frequency-aware Force Field Reduction for Efficient Fluids Optimization 

      Tang, Jingwei; Azevedo, Vinicius C.; Cordonnier, Guillaume; Solenthaler, Barbara (The Eurographics Association and John Wiley & Sons Ltd., 2021)
      Fluid control often uses optimization of control forces that are added to a simulation at each time step, such that the final animation matches a single or multiple target density keyframes provided by an artist. The ...
    • Interactive Photo Editing on Smartphones via Intrinsic Decomposition 

      Shekhar, Sumit; Reimann, Max; Mayer, Maximilian; Semmo, Amir; Pasewaldt, Sebastian; Döllner, Jürgen; Trapp, Matthias (The Eurographics Association and John Wiley & Sons Ltd., 2021)
      Intrinsic decomposition refers to the problem of estimating scene characteristics, such as albedo and shading, when one view or multiple views of a scene are provided. The inverse problem setting, where multiple unknowns ...
    • Layout Embedding via Combinatorial Optimization 

      Born, Janis; Schmidt, Patrick; Kobbelt, Leif (The Eurographics Association and John Wiley & Sons Ltd., 2021)
      We consider the problem of injectively embedding a given graph connectivity (a layout) into a target surface. Starting from prescribed positions of layout vertices, the task is to embed all layout edges as intersection-free ...
    • Learning and Exploring Motor Skills with Spacetime Bounds 

      Ma, Li-Ke; Yang, Zeshi; Tong, Xin; Guo, Baining; Yin, KangKang (The Eurographics Association and John Wiley & Sons Ltd., 2021)
      Equipping characters with diverse motor skills is the current bottleneck of physics-based character animation. We propose a Deep Reinforcement Learning (DRL) framework that enables physics-based characters to learn and ...
    • Learning Human Search Behavior from Egocentric Visual Inputs 

      Sorokin, Maks; Yu, Wenhao; Ha, Sehoon; Liu, C. Karen (The Eurographics Association and John Wiley & Sons Ltd., 2021)
      ''Looking for things'' is a mundane but critical task we repeatedly carry on in our daily life. We introduce a method to develop a human character capable of searching for a randomly located target object in a detailed 3D ...