Now showing items 861-880 of 2371

    • Mesh Parameterization: a Viewpoint from Constant Mean Curvature Surfaces 

      Zhao, Hui; Su, Kehua; Li, Chenchen; Zhang, Boyu; Liu, Shirao; Yang, Lei; Lei, Na; Gortler, Steven J.; Gu, Xianfeng (The Eurographics Association, 2018)
      We present a unified mesh paramterization algorithm for both planar and spheric domains based on mesh deformation. Unlike previous methods, our approach can produce intermediate frames from the original to target meshes. ...
    • Efficient Metropolis Path Sampling for Material Editing and Re-rendering 

      Yamaguchi, Tomoya; Yatagawa, Tatsuya; Morishima, Shigeo (The Eurographics Association, 2018)
      This paper proposes efficient path sampling for re-rendering scenes after material editing. The proposed sampling method is based on Metropolis light transport (MLT) and distributes more path samples to pixels whose values ...
    • Effects of Surface Anisotropy on Perception of Car Body Attractiveness 

      Filip, Jiri; Kolafová, Martina (The Eurographics Association, 2018)
      In the automotive industry effect coatings are used to introduce customized product design, visually communicating the unique impression of a car. Industrial effect coatings systems achieve primarily a globally isotropic ...
    • Bottom-up/Top-down Geometric Object Reconstruction with CNN Classification for Mobile Education 

      Guo, Ting; Cui, Rundong; Qin, Xiaoran; Wang, Yongtao; Tang, Zhi (The Eurographics Association, 2018)
      Geometric objects in educational materials are often illustrated as 2D line drawings, which results in the loss of depth information. To alleviate the problem of fully understanding the 3D structure of geometric objects, ...
    • Robust and Efficient SPH Simulation for High-speed Fluids with the Dynamic Particle Partitioning Method 

      Zheng, Zhong; Gao, Yang; Li, Shuai; Qin, Hong; Hao, Aimin (The Eurographics Association, 2018)
      In this paper, our research efforts are devoted to the efficiency issue of the SPH simulation when the ratio of velocities among fluid particles is large. Specifically, we introduce a k-means clustering method into the SPH ...
    • Shape Interpolation via Multiple Curves 

      Sahillioglu, Yusuf; Aydinlilar, Melike (The Eurographics Association, 2018)
      We present a method that interpolates new shapes between a given pair of source and target shapes. To this end, we utilize a database of related shapes that is used to replace the direct transition from the source to the ...
    • Facial-Expression-Aware Emotional Color Transfer Based On Convolutional Neural Network 

      Pei, Min; Liu, Shiguang; Zhang, Xiaoli (The Eurographics Association, 2018)
      Emotional color transfer aims to change the evoked emotion of the source image to that of the target image by adjusting color distribution. Most of existing emotional color transfer methods ignore the facial expression ...
    • Spherical Blue Noise 

      Wong, Kin-Ming; Wong, Tien-Tsin (The Eurographics Association, 2018)
      We present a physically based method which generates unstructured uniform point set directly on the S2-sphere. Spherical uniform point sets are useful for illumination sampling in Quasi Monte Carlo (QMC) rendering but it ...
    • Japanese Kanji Font Style Transfer based on GAN with Unpaired Training 

      Sakai, Hiroki; Niino, Daisuke; Ijiri, Takashi (The Eurographics Association, 2018)
      To design a whole package of Japanese font is labor consuming, since it usually contains about 30k kanji characters. To support an efficient design process, this poster attempts to adopt a style transfer algorithm for font ...
    • TAVE: Template-based Augmentation of Visual Effects to Human Actions in Videos 

      Liu, Jingyuan; Zhou, Xuren; Fu, Hongbo; Tai, Chiew-Lan (The Eurographics Association, 2018)
      We present TAVE, a framework that allows novice users to add interesting visual effects by mimicking human actions in a given template video, in which pre-defined visual effects have already been associated with specific ...
    • StretchDenoise: Parametric Curve Reconstruction with Guarantees by Separating Connectivity from Residual Uncertainty of Samples 

      Ohrhallinger, Stefan; Wimmer, Michael (The Eurographics Association, 2018)
      We reconstruct a closed denoised curve from an unstructured and highly noisy 2D point cloud. Our proposed method uses a two-pass approach: Previously recovered manifold connectivity is used for ordering noisy samples along ...
    • GPU-based Real-time Cloth Simulation for Virtual Try-on 

      Su, Tongkui; Zhang, Yan; Zhou, Yu; Yu, Yao; Du, Sidan (The Eurographics Association, 2018)
      We present a novel real-time approach for dynamic detailed clothing simulation on a moving body. The most distinctive feature of our method is that it divides dynamic simulation into two parts: local driving and static ...
    • Frontmatter: Pacific Graphics 2018 - Short Papers and Posters 

      Fu, Hongbo; Ghosh, Abhijeet; Kopf, Johannes (The Eurographics Association, 2018)
    • Untangling Layered Garments: An Implicit Approach 

      Buffet, Thomas; Rohmer, Damien; Cani, Marie-Paule (The Eurographics Association, 2018)
      The efficient animation of layers of garments is a challenging task, as it requires handling collisions and contacts between multiple thin surfaces, which may be difficult to untangle once inter-penetrations have occurred. ...
    • Viewpoint Selection for Liquid Animations 

      Suzuki, Chihiro; Kanai, Takashi (The Eurographics Association, 2018)
      We propose a viewpoint selection method for time-varying liquid shapes in order to select the best viewpoint for liquid animations. First, viewpoint evaluation is performed by a combination of three evaluation terms; ...
    • VR Kino+Theatre: From the Ancient Greeks Into the Future of Media 

      Velho, Luiz; Carvalho, Leonardo; Lucio, Djalma (The Eurographics Association, 2018)
      VR Kino+Theatre is a media platform that combines theatrical performance with live cinema using virtual reality technology.
    • Local Models for Data Driven Inverse Kinematics of Soft Robots 

      Holsten, Fredrik; Darkner, Sune; Engell-Nørregård, Morten P.; Erleben, Kenny (The Eurographics Association, 2018)
      Soft robots are attractive because they have the potential of being safer, faster and cheaper than traditional rigid robots. If we can predict the shape of a soft robot for a given set of control parameters, then we can ...
    • Dilated Temporal Fully-Convolutional Network for Semantic Segmentation of Motion Capture Data 

      Noshaba, Cheema; Hosseini, Somayeh; Sprenger, Janis; Herrmann, Erik; Du, Han; Fischer, Klaus; Slusallek, Philipp (The Eurographics Association, 2018)
      Semantic segmentation of motion capture sequences plays a key part in many data-driven motion synthesis frameworks. It is a preprocessing step in which long recordings of motion capture sequences are partitioned into smaller ...
    • Latent Motion Manifold with Sequential Auto-Encoders 

      Jang, Deok-Kyeong; Lee, Sung-Hee (The Eurographics Association, 2018)
      We propose the sequential autoencoders for constructing latent motion manifold. Sequential autoencoders minimize the difference between the ground truth motion space distribution and reconstructed motion space distribution ...
    • Capturing Floor Exercise from Multiple Panning-Zooming Cameras 

      Kobayashi, D.; Yamamoto, Masanobu (The Eurographics Association, 2018)
      By panning and zooming camera, a system of the multiple cameras can obtain wider range of common field of views. It means that an image based motion capture system can measure bodies in motion of wider range. To do so, a ...