Browsing Volume 37 (2018) by Title

FashionGAN: Display your fashion design using Conditional Generative Adversarial Nets

Cui, Yi Rui; Liu, Qi; Gao, Cheng Ying; Su, Zhuo (The Eurographics Association and John Wiley & Sons Ltd., 2018)

Virtual garment display plays an important role in fashion design for it can directly show the design effect of the garment without having to make a sample garment like traditional clothing industry. In this paper, we ...

Fast and Accurate CNN-based Brushing in Scatterplots

Fan, Chaoran; Hauser, Helwig (The Eurographics Association and John Wiley & Sons Ltd., 2018)

Brushing plays a central role in most modern visual analytics solutions and effective and efficient techniques for data selection are key to establishing a successful human-computer dialogue. With this paper, we address ...

Fast Approximation of Laplace-Beltrami Eigenproblems

Nasikun, Ahmad; Brandt, Christopher; Hildebrandt, Klaus (The Eurographics Association and John Wiley & Sons Ltd., 2018)

The spectrum and eigenfunctions of the Laplace-Beltrami operator are at the heart of effective schemes for a variety of problems in geometry processing. A burden attached to these spectral methods is that they need to ...

Fast Catmull-Rom Spline Interpolation for High-Quality Texture Sampling

Csébfalvi, Balázs (The Eurographics Association and John Wiley & Sons Ltd., 2018)

It is well known that cubic texture filtering can be efficiently implemented on the GPU by using a method published by Sigg and Hadwiger [SH05], which simplifies the evaluation to a linear combination of linear texture ...

Fast Corotated FEM using Operator Splitting

Kugelstadt, Tassilo; Koschier, Dan; Bender, Jan (The Eurographics Association and John Wiley & Sons Ltd., 2018)

In this paper we present a novel operator splitting approach for corotated FEM simulations. The deformation energy of the corotated linear material model consists of two additive terms. The first term models stretching in ...

Fast Fluid Simulations with Sparse Volumes on the GPU

Wu, Kui; Truong, Nghia; Yuksel, Cem; Hoetzlein, Rama (The Eurographics Association and John Wiley & Sons Ltd., 2018)

We introduce efficient, large scale fluid simulation on GPU hardware using the fluid-implicit particle (FLIP) method over a sparse hierarchy of grids represented in NVIDIA R GVDB Voxels. Our approach handles tens of millions ...

Fast Global Illumination with Discrete Stochastic Microfacets Using a Filterable Model

Wang, Beibei; Wang, Lu; Holzschuch, Nicolas (The Eurographics Association and John Wiley & Sons Ltd., 2018)

Many real-life materials have a sparkling appearance, whether by design or by nature. Examples include metallic paints, sparkling varnish but also snow. These sparkles correspond to small, isolated, shiny particles reflecting ...

Fast Penetration Volume for Rigid Bodies

Nirel, Dan; Lischinski, Dani (The Eurographics Association and John Wiley & Sons Ltd., 2018)

Handling collisions among a large number of bodies can be a performance bottleneck in video games and many other real-time applications. We present a new framework for detecting and resolving collisions using the penetration ...

Feature Curve Co-Completion in Noisy Data

Gehre, Anne; Lim, Isaak; Kobbelt, Leif (The Eurographics Association and John Wiley & Sons Ltd., 2018)

Feature curves on 3D shapes provide important hints about significant parts of the geometry and reveal their underlying structure. However, when we process real world data, automatically detected feature curves are affected ...

Feature Generation for Adaptive Gradient-Domain Path Tracing

Back, Jonghee; Yoon, Sung-Eui; Moon, Bochang (The Eurographics Association and John Wiley & Sons Ltd., 2018)

In this paper, we propose a new technique to incorporate recent adaptive rendering approaches built upon local regression theory into a gradient-domain path tracing framework, in order to achieve high-quality rendering ...

Feature of Interest‐Based Direct Volume Rendering Using Contextual Saliency‐Driven Ray Profile Analysis

Direct volume rendering (DVR) visualization helps interpretation because it allows users to focus attention on the subset of volumetric data that is of most interest to them. The ideal visualization of the features of ...

Few-shot Learning of Homogeneous Human Locomotion Styles

Mason, Ian; Starke, Sebastian; Zhang, He; Bilen, Hakan; Komura, Taku (The Eurographics Association and John Wiley & Sons Ltd., 2018)

Using neural networks for learning motion controllers from motion capture data is becoming popular due to the natural and smooth motions they can produce, the wide range of movements they can learn and their compactness ...

Field-Aligned and Lattice-Guided Tetrahedral Meshing

Ni, Saifeng; Zhong, Zichun; Huang, Jin; Wang, Wenping; Guo, Xiaohu (The Eurographics Association and John Wiley & Sons Ltd., 2018)

We present a particle-based approach to generate field-aligned tetrahedral meshes, guided by cubic lattices, including BCC and FCC lattices. Given a volumetric domain with an input frame field and a user-specified edge ...

Field‐Aligned Isotropic Surface Remeshing

We present a novel isotropic surface remeshing algorithm that automatically aligns the mesh edges with an underlying directional field. The alignment is achieved by minimizing an energy function that combines both centroidal ...

Flexible Live-Wire: Image Segmentation with Floating Anchors

Summa, Brian; Faraj, Noura; Licorish, Cody; Pascucci, Valerio (The Eurographics Association and John Wiley & Sons Ltd., 2018)

We introduce Flexible Live-Wire, a generalization of the Live-Wire interactive segmentation technique with floating anchors. In our approach, the user input for Live-Wire is no longer limited to the setting of pixel-level ...

Frame Rate vs Resolution: A Subjective Evaluation of Spatiotemporal Perceived Quality Under Varying Computational Budgets

Maximizing performance for rendered content requires making compromises on quality parameters depending on the computational resources available . Yet, it is currently unclear which parameters best maximize perceived ...