Now showing items 161-180 of 231

    • 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 ...
    • Physically-based Book Simulation with Freeform Developable Surfaces 

      Wolf, Thomas; Cornillère, Victor; Sorkine-Hornung, Olga (The Eurographics Association and John Wiley & Sons Ltd., 2021)
      Reading books or articles digitally has become accessible and widespread thanks to the large amount of affordable mobile devices and distribution platforms. However, little effort has been devoted to improving the digital ...
    • 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 ...
    • 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 ...
    • 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 ...
    • 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 ...
    • 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 ...
    • Walk2Map: Extracting Floor Plans from Indoor Walk Trajectories 

      Mura, Claudio; Pajarola, Renato; Schindler, Konrad; Mitra, Niloy (The Eurographics Association and John Wiley & Sons Ltd., 2021)
      Recent years have seen a proliferation of new digital products for the efficient management of indoor spaces, with important applications like emergency management, virtual property showcasing and interior design. While ...
    • Patch Erosion for Deformable Lapped Textures on 3D Fluids 

      Gagnon, Jonathan; Guzmán, Julián E.; Mould, David; Paquette, Eric (The Eurographics Association and John Wiley & Sons Ltd., 2021)
      We propose an approach to synthesise a texture on an animated fluid free surface using a distortion metric combined with a feature map. Our approach is applied as a post-process to a fluid simulation. We advect deformable ...
    • Two-step Temporal Interpolation Network Using Forward Advection for Efficient Smoke Simulation 

      Oh, Young Jin; Lee, In-Kwon (The Eurographics Association and John Wiley & Sons Ltd., 2021)
      In this paper, we propose a two-step temporal interpolation network using forward advection to generate smoke simulation efficiently. By converting a low frame rate smoke simulation computed with a large time step into a ...
    • 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 ...
    • Perceptual Quality of BRDF Approximations: Dataset and Metrics 

      Lavoué, Guillaume; Bonneel, Nicolas; Farrugia, Jean-Philippe; Soler, Cyril (The Eurographics Association and John Wiley & Sons Ltd., 2021)
      Bidirectional Reflectance Distribution Functions (BRDFs) are pivotal to the perceived realism in image synthesis. While measured BRDF datasets are available, reflectance functions are most of the time approximated by ...
    • 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 ...
    • Quad Layouts via Constrained T-Mesh Quantization 

      Lyon, Max; Campen, Marcel; Kobbelt, Leif (The Eurographics Association and John Wiley & Sons Ltd., 2021)
      We present a robust and fast method for the creation of conforming quad layouts on surfaces. Our algorithm is based on the quantization of a T-mesh, i.e. an assignment of integer lengths to the sides of a non-conforming ...
    • 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 ...
    • 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 ...
    • 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 ...
    • 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 ...
    • 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, ...
    • 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 ...