Now showing items 7-23 of 23

    • Fine-Grained Semantic Segmentation of Motion Capture Data using Dilated Temporal Fully-Convolutional Networks 

      Cheema, Noshaba; hosseini, somayeh; Sprenger, Janis; Herrmann, Erik; Du, Han; Fischer, Klaus; Slusallek, Philipp (The Eurographics Association, 2019)
      Human motion capture data has been widely used in data-driven character animation. In order to generate realistic, naturallooking motions, most data-driven approaches require considerable efforts of pre-processing, including ...
    • Font Specificity 

      Power, Luther; Lau, Manfred (The Eurographics Association, 2019)
      We explore the concept of ''image specificity'' for fonts and introduce the notion of ''font specificity''. The idea is that a font that elicits consistent descriptions from different people are more ''specific''. We collect ...
    • GPU Smoke Simulation on Compressed DCT Space 

      Ishida, Daichi; Ando, Ryoichi; Morishima, Shigeo (The Eurographics Association, 2019)
      This paper presents a novel GPU-based algorithm for smoke animation. Our primary contribution is the use of Discrete Cosine Transform (DCT) compressed space for efficient simulation. We show that our method runs an order ...
    • Hybrid Function Representation with Distance Properties 

      Tereshin, Alexander; Adzhiev, Valery; Fryazinov, Oleg; Pasko, Alexander (The Eurographics Association, 2019)
      This paper describes a novel framework allowing for a hybrid representation of heterogeneous objects. We consider advantages and drawbacks of the conventional representations based on scalar fields of different kinds. The ...
    • Image Recoloring Based on Object Color Distributions 

      Afifi, Mahmoud; Price, Brian; Cohen, Scott; Brown, Michael S. (The Eurographics Association, 2019)
      We present a method to perform automatic image recoloring based on the distribution of colors associated with objects present in an image. For example, when recoloring an image containing a sky object, our method incorporates ...
    • Integrating Server-based Simulations Into Web-based Geo-applications 

      Bormann, Pascal; Gutbell, Ralf; Mueller-Roemer, Johannes Sebastian (The Eurographics Association, 2019)
      In this work, we present a novel approach for combining fluid simulations running on a GPU server with terrain rendered by a web-based 3D GIS system. We introduce a hybrid rendering approach, combining server-side and ...
    • Investigating Different Augmented Reality Approaches in Circuit Assembly: a User Study 

      Marques, Bernardo; Esteves, Rafael; Alves, João; Ferreira, Carlos; Dias, Paulo; Santos, Beatriz Sousa (The Eurographics Association, 2019)
      Augmented Reality (AR) has been considered as having great potential in assisting performance and training of complex tasks. Assembling electronic circuits is such a task, since many errors may occur, as wrong choice or ...
    • Making Gabor Noise Fast and Normalized 

      Tavernier, Vincent; Neyret, Fabrice; Vergne, Romain; Thollot, Joëlle (The Eurographics Association, 2019)
      Gabor Noise is a powerful procedural texture synthesis technique, but it has two major drawbacks: It is costly due to the high required splat density and not always predictable because properties of instances can differ ...
    • One-step Compact Skeletonization 

      Durix, Bastien; Morin, Geraldine; Chambon, Sylvie; Mari, Jean-Luc; Leonard, Kathryn (The Eurographics Association, 2019)
      Computing a skeleton for a discretized boundary typically produces a noisy output, with a skeletal branch produced for each boundary pixel. A simplification step often follows to reduce these noisy branches. As a result, ...
    • Optimal Deterministic Mixture Sampling 

      Sbert, Mateu; Havran, Vlastimil; Szirmay-Kalos, László (The Eurographics Association, 2019)
      Multiple Importance Sampling (MIS) can combine several sampling techniques preserving their advantages. For example, we can consider different Monte Carlo rendering methods generating light path samples proportionally only ...
    • Perceptual Characteristics by Motion Style Category 

      Kim, Hye Ji; Lee, Sung-Hee (The Eurographics Association, 2019)
      Motion style is important as it characterizes a motion by expressing the context of the motion such as emotion and personality. Yet, the perception and interpretation of motion styles is subjective and may vary greatly ...
    • Planar Abstraction and Inverse Rendering of 3D Indoor Environment 

      Kim, Young Min; Ryu, Sangwoo; Kim, Ig-Jae (The Eurographics Association, 2019)
      A large-scale scanned 3D environment suffers from complex occlusions and misalignment errors. The reconstruction contains holes in geometry and ghosting in texture. These are easily noticed and cannot be used in visually ...
    • A Preliminary Analysis of Methods for Curvature Estimation on Surfaces With Local Reliefs 

      Moscoso Thompson, Elia; Biasotti, Silvia (The Eurographics Association, 2019)
      Curvature estimation is very popular in geometry processing for the analysis of local surface variations. Despite the large number of methods, no quantitative nor qualitative studies have been conducted for a comparative ...
    • Schelling Meshes 

      Power, Luther; Lau, Manfred (The Eurographics Association, 2019)
      The concept of ''Schelling points'' on 3D shapes has been explored for points on the surface of a 3D mesh. In this paper, we introduce the notion of ''Schelling meshes'' which extends the Schelling concept to 3D meshes as ...
    • Stylistic Locomotion Modeling with Conditional Variational Autoencoder 

      Du, Han; Herrmann, Erik; Sprenger, Janis; Cheema, Noshaba; hosseini, somayeh; Fischer, Klaus; Slusallek, Philipp (The Eurographics Association, 2019)
      We propose a novel approach to create generative models for distinctive stylistic locomotion synthesis. The approach is inspired by the observation that human styles can be easily distinguished from a few examples. However, ...
    • Towards Diverse Anime Face Generation: Active Label Completion and Style Feature Network 

      Li, Hongyu; Han, Tianqi (The Eurographics Association, 2019)
      It is interesting to use an anime face as personal virtual image to replace the traditional sequence code. To generate diverse anime faces, this paper proposes a style-gender based anime GAN (SGA-GAN), where the gender is ...
    • A Validation Tool For Improving Semantic Segmentation of Complex Natural Structures 

      Pavoni, Gaia; Corsini, Massimiliano; Palma, Marco; Scopigno, Roberto (The Eurographics Association, 2019)
      The automatic recognition of natural structures is a challenging task in the supervised learning field. Complex morphologies are difficult to detect both from the networks, that may suffer from generalization issues, and ...