• Organic Narrative Charts 

  Bolte, Fabian; Bruckner, Stefan (The Eurographics Association, 2020)

  Storyline visualizations display the interactions of groups and entities and their development over time. Existing approaches have successfully adopted the general layout from hand-drawn illustrations to automatically ...

• Pair Correlation Functions with Free-Form Boundaries for Distribution Inpainting and Decomposition 

  Nicolet, Baptiste; Ecormier-Nocca, Pierre; Memari, Pooran; Cani, Marie-Paule (The Eurographics Association, 2020)

  Pair Correlation Functions (PCF) have been recently spreading as a reliable representation for distributions, enabling the efficient synthesis of point-sets, vector textures and object placement from examples. In this work ...

• EUROGRAPHICS 2020: Short Papers Frontmatter 

  Wilkie, Alexander; Banterle, Francesco (Eurographics Association, 2020)

• Interactive Flat Coloring of Minimalist Neat Sketches 

  Parakkat, Amal Dev; Madipally, Prudhviraj; Gowtham, Hari Hara; Cani, Marie-Paule (The Eurographics Association, 2020)

  We introduce a simple Delaunay-triangulation based algorithm for the interactive coloring of neat line-art minimalist sketches, ie. vector sketches that may include open contours. The main objective is to minimize user ...

• Deep-Eyes: Fully Automatic Anime Character Colorization with Painting of Details on Empty Pupils 

  Akita, Kenta; Morimoto, Yuki; Tsuruno, Reiji (The Eurographics Association, 2020)

  Many studies have recently applied deep learning to the automatic colorization of line drawings. However, it is difficult to paint empty pupils using existing methods because the networks are trained with pupils that have ...

• ScagnosticsJS: Extended Scatterplot Visual Features for the Web 

  Pham, Vung; Dang, Tommy (The Eurographics Association, 2020)

  Scagnostics is a set of features that characterizes the data distribution in a scatterplot. These visual features have been used in various applications to detect unusual correlations of bivariate data. However, there is ...

• Interactive Assembly and Animation of 3D Digital Garments 

  Nylén, Oskar; Pall, Pontus; Ishiwaka, Yuko; Suda, Kazuto; Fratarcangeli, Marco (The Eurographics Association, 2020)

  We present a novel real-time tool for sewing together 2D patterns, enabling quick assembly of visually plausible, interactively animated garments for virtual characters. The process is assisted by ad-hoc visual hints and ...

• Procedural 3D Asteroid Surface Detail Synthesis 

  Li, Xi-zhi; Weller, René; Zachmann, Gabriel (The Eurographics Association, 2020)

  We present a novel noise model to procedurally generate volumetric terrain on implicit surfaces. The main idea is to combine a novel Locally Controlled 3D Spot noise (LCSN) for authoring the macro structures and 3D Gabor ...

• Frequency-Aware Reconstruction of Fluid Simulations with Generative Networks 

  Biland, Simon; Azevedo, Vinicius C.; Kim, Byungsoo; Solenthaler, Barbara (The Eurographics Association, 2020)

  Convolutional neural networks were recently employed to fully reconstruct fluid simulation data from a set of reduced parameters. However, since (de-)convolutions traditionally trained with supervised l1-loss functions do ...

• UV Completion with Self-referenced Discrimination 

  Kang, Jiwoo; Lee, Seongmin; Lee, Sanghoon (The Eurographics Association, 2020)

  A facial UV map is used in many applications such as facial reconstruction, synthesis, recognition, and editing. However, it is difficult to collect a number of the UVs needed for accuracy using 3D scan device, or a ...

• A Practical Male Hair Aging Model 

  Volkmann, Diego V.; Walter, Marcelo (The Eurographics Association, 2020)

  The modeling and rendering of hair in Computer Graphics have seen much progress in the last few years. However, modeling and rendering hair aging, visually seen as the loss of pigments, have not attracted the same attention. ...

• Triplanar Displacement Mapping for Terrain Rendering 

  Weiss, Sebastian; Bayer, Florian; Westermann, Rüdiger (The Eurographics Association, 2020)

  Heightmap-based terrain representations are common in computer games and simulations. However, adding geometric details to such a representation during rendering on the GPU is difficult to achieve. In this paper, we propose ...

• Neural Smoke Stylization with Color Transfer 

  Christen, Fabienne; Kim, Byungsoo; Azevedo, Vinicius C.; Solenthaler, Barbara (The Eurographics Association, 2020)

  Artistically controlling fluid simulations requires a large amount of manual work by an artist. The recently presented transportbased neural style transfer approach simplifies workflows as it transfers the style of arbitrary ...

• Space-Time Blending for Heterogeneous Objects 

  Tereshin, Alexander; Anderson, Eike; Pasko, Alexander; Adzhiev, Valery (The Eurographics Association, 2020)

  Space-time blending (STB) is an established technique allowing to implement a metamorphosis operation between geometric shapes. In this paper we significantly extend the STB method to make it possible to deal with heterogeneous ...

• Adversarial Generation of Continuous Implicit Shape Representations 

  Kleineberg, Marian; Fey, Matthias; Weichert, Frank (The Eurographics Association, 2020)

  This work presents a generative adversarial architecture for generating three-dimensional shapes based on signed distance representations. While the deep generation of shapes has been mostly tackled by voxel and surface ...

• Learning Body Shape and Pose from Dense Correspondences 

  Yoshiyasu, Yusuke; Gamez, Lucas (The Eurographics Association, 2020)

  In this paper, we address the problem of learning 3D human pose and body shape from 2D image dataset, without having to use 3D supervisions (body shape and pose) which are in practice difficult to obtain. The idea is to ...

• First Order Signed Distance Fields 

  Bán, Róbert; Valasek, Gábor (The Eurographics Association, 2020)

  This paper investigates a first order generalization of signed distance fields. We show that we can improve accuracy and storage efficiency by incorporating the spatial derivatives of the signed distance function into the ...

• MEPP2: A Generic Platform for Processing 3D Meshes and Point Clouds 

  Vidal, Vincent; Lombardi, Eric; Tola, Martial; Dupont, Florent; Lavoué, Guillaume (The Eurographics Association, 2020)

  In this paper, we present MEPP2, an open-source C++ software development kit (SDK) for processing and visualizing 3D surface meshes and point clouds. It provides both an application programming interface (API) for creating ...

• On Learning the Best Local Balancing Strategy 

  Murray, David; Benzait, Sofiane; Pacanowski, Romain; Granier, Xavier (The Eurographics Association, 2020)

  Fast computation of light propagation using Monte Carlo techniques requires finding the best samples from the space of light paths. For the last 30 years, numerous strategies have been developed to address this problem but ...

• Multisample Anti-aliasing in Deferred Rendering 

  Fridvalszky, András; Tóth, Balázs (The Eurographics Association, 2020)

  We propose a novel method for multisample anti-aliasing in deferred shading. Our technique successfully reduces memory and bandwidth usage. The new model uses per-pixel linked lists to store the samples. We also introduce ...

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