Now showing items 1-20 of 38

    • 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 ...
    • 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 ...
    • 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, ...
    • 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 ...
    • 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 ...
    • Learning Multiple-Scattering Solutions for Sphere-Tracing of Volumetric Subsurface Effects 

      Leonard, Ludwic; Höhlein, Kevin; Westermann, Rüdiger (The Eurographics Association and John Wiley & Sons Ltd., 2021)
      Accurate subsurface scattering solutions require the integration of optical material properties along many complicated light paths. We present a method that learns a simple geometric approximation of random paths in a ...
    • LoBSTr: Real-time Lower-body Pose Prediction from Sparse Upper-body Tracking Signals 

      Yang, Dongseok; Kim, Doyeon; Lee, Sung-Hee (The Eurographics Association and John Wiley & Sons Ltd., 2021)
      With the popularization of games and VR/AR devices, there is a growing need for capturing human motion with a sparse set of tracking data. In this paper, we introduce a deep neural network (DNN) based method for real-time ...
    • Local Light Alignment for Multi-Scale Shape Depiction 

      Mestres, Nolan; Vergne, Romain; Noûs, Camille; Thollot, Joëlle (The Eurographics Association and John Wiley & Sons Ltd., 2021)
      Motivated by recent findings in the field of visual perception, we present a novel approach for enhancing shape depiction and perception of surface details. We propose a shading-based technique that relies on locally ...
    • MultiResGNet: Approximating Nonlinear Deformation via Multi-Resolution Graphs 

      Li, Tianxing; Shi, Rui; Kanai, Takashi (The Eurographics Association and John Wiley & Sons Ltd., 2021)
      This paper presents a graph-learning-based, powerfully generalized method for automatically generating nonlinear deformation for characters with an arbitrary number of vertices. Large-scale character datasets with a ...
    • A Multiscale Microfacet Model Based on Inverse Bin Mapping 

      Atanasov, Asen; Wilkie, Alexander; Koylazov, Vladimir; Krivánek, Jaroslav (The Eurographics Association and John Wiley & Sons Ltd., 2021)
      Accurately controllable shading detail is a crucial aspect of realistic appearance modelling. Two fundamental building blocks for this are microfacet BRDFs, which describe the statistical behaviour of infinitely small ...
    • Neural Acceleration of Scattering-Aware Color 3D Printing 

      Rittig, Tobias; Sumin, Denis; Babaei, Vahid; Didyk, Piotr; Voloboy, Alexey; Wilkie, Alexander; Bickel, Bernd; Myszkowski, Karol; Weyrich, Tim; Krivánek, Jaroslav (The Eurographics Association and John Wiley & Sons Ltd., 2021)
      With the wider availability of full-color 3D printers, color-accurate 3D-print preparation has received increased attention. A key challenge lies in the inherent translucency of commonly used print materials that blurs out ...
    • Orthogonalized Fourier Polynomials for Signal Approximation and Transfer 

      Maggioli, Filippo; Melzi, Simone; Ovsjanikov, Maks; Bronstein, Michael M.; Rodolà, Emanuele (The Eurographics Association and John Wiley & Sons Ltd., 2021)
      We propose a novel approach for the approximation and transfer of signals across 3D shapes. The proposed solution is based on taking pointwise polynomials of the Fourier-like Laplacian eigenbasis, which provides a compact ...