• State of the Art of Visual Analytics for eXplainable Deep Learning 

  La Rosa, B.; Blasilli, G.; Bourqui, R.; Auber, D.; Santucci, G.; Capobianco, R.; Bertini, E.; Giot, R.; Angelini, M. (Eurographics ‐ The European Association for Computer Graphics and John Wiley & Sons Ltd., 2023)

  The use and creation of machine‐learning‐based solutions to solve problems or reduce their computational costs are becoming increasingly widespread in many domains. Deep Learning plays a large part in this growth. However, ...

• PDViz: A Visual Analytics Approach for State Policy Data 

  Han, Dongyun; Nayeem, Abdullah‐Al‐Raihan; Windett, Jason; Cho, Isaac (Eurographics ‐ The European Association for Computer Graphics and John Wiley & Sons Ltd., 2023)

  Sub‐national governments across the United States implement a variety of policies to address large societal problems and needs. Many policies are picked up or adopted in other states. This process is called policy diffusion ...

• Differentiable Depth for Real2Sim Calibration of Soft Body Simulations 

  Arnavaz, K.; Nielsen, M. Kragballe; Kry, P. G.; Macklin, M.; Erleben, K. (Eurographics ‐ The European Association for Computer Graphics and John Wiley & Sons Ltd., 2023)

  In this work, we present a novel approach for calibrating material model parameters for soft body simulations using real data. We use a fully differentiable pipeline, combining a differentiable soft body simulator and ...

• ComBiNet: Visual Query and Comparison of Bipartite Multivariate Dynamic Social Networks 

  Pister, A.; Prieur, C.; Fekete, J.‐D. (Eurographics ‐ The European Association for Computer Graphics and John Wiley & Sons Ltd., 2023)

  We present ComBiNet, a visualization, query, and comparison system for exploring bipartite multivariate dynamic social networks. Historians and sociologists study social networks constructed from textual sources mentioning ...

• Proliferating cell nuclear antigen sliding along DNA 

  Hauser, Helwig and Alliez, Pierre (Eurographics ‐ The European Association for Computer Graphics and John Wiley & Sons Ltd., 2023)

• Improved Evaluation and Generation Of Grid Layouts Using Distance Preservation Quality and Linear Assignment Sorting 

  Barthel, K. U.; Hezel, N.; Jung, K.; Schall, K. (Eurographics ‐ The European Association for Computer Graphics and John Wiley & Sons Ltd., 2023)

  Images sorted by similarity enables more images to be viewed simultaneously, and can be very useful for stock photo agencies or e‐commerce applications. Visually sorted grid layouts attempt to arrange images so that their ...

• Investigation and Simulation of Diffraction on Rough Surfaces 

  Clausen, O.; Chen, Y.; Fuhrmann, A.; Marroquim, R. (Eurographics ‐ The European Association for Computer Graphics and John Wiley & Sons Ltd., 2023)

  Simulating light–matter interaction is a fundamental problem in computer graphics. A particular challenge is the simulation of light interaction with rough surfaces due to diffraction and multiple scattering phenomena. To ...

• Model Averaging and Bootstrap Consensus‐based Uncertainty Reduction in Diffusion MRI Tractography 

  Gruen, J.; van der Voort, G.; Schultz, T. (Eurographics ‐ The European Association for Computer Graphics and John Wiley & Sons Ltd., 2023)

  Diffusion magnetic resonance imaging (dMRI) tractography has the unique ability to reconstruct major white matter tracts non‐invasively and is, therefore, widely used in neurosurgical planning and neuroscience. In this ...

• ZeroEGGS: Zero‐shot Example‐based Gesture Generation from Speech 

  Ghorbani, Saeed; Ferstl, Ylva; Holden, Daniel; Troje, Nikolaus F.; Carbonneau, Marc‐André (Eurographics ‐ The European Association for Computer Graphics and John Wiley & Sons Ltd., 2023)

  We present ZeroEGGS, a neural network framework for speech‐driven gesture generation with zero‐shot style control by example. This means style can be controlled via only a short example motion clip, even for motion styles ...

• Designing Personalized Garments with Body Movement 

  Wolff, Katja; Herholz, Philipp; Ziegler, Verena; Link, Frauke; Brügel, Nico; Sorkine‐Hornung, Olga (Eurographics ‐ The European Association for Computer Graphics and John Wiley & Sons Ltd., 2023)

  The standardized sizes used in the garment industry do not cover the range of individual differences in body shape for most people, leading to ill‐fitting clothes, high return rates and overproduction. Recent research ...

• Test‐Time Optimization for Video Depth Estimation Using Pseudo Reference Depth 

  Zeng, Libing; Kalantari, Nima Khademi (Eurographics ‐ The European Association for Computer Graphics and John Wiley & Sons Ltd., 2023)

  In this paper, we propose a learning‐based test‐time optimization approach for reconstructing geometrically consistent depth maps from a monocular video. Specifically, we optimize an existing single image depth estimation ...

• Detail‐Aware Deep Clothing Animations Infused with Multi‐Source Attributes 

  Li, T.; Shi, R.; Kanai, T. (Eurographics ‐ The European Association for Computer Graphics and John Wiley & Sons Ltd., 2023)

  This paper presents a novel learning‐based clothing deformation method to generate rich and reasonable detailed deformations for garments worn by bodies of various shapes in various animations. In contrast to existing ...

• Monolithic Friction and Contact Handling for Rigid Bodies and Fluids Using SPH 

  Probst, T.; Teschner, M. (Eurographics ‐ The European Association for Computer Graphics and John Wiley & Sons Ltd., 2023)

  We propose a novel monolithic pure SPH formulation to simulate fluids strongly coupled with rigid bodies. This includes fluid incompressibility, fluid–rigid interface handling and rigid–rigid contact handling with a viable ...

• Remeshing‐free Graph‐based Finite Element Method for Fracture Simulation 

  Mandal, A.; Chaudhuri, P.; Chaudhuri, S. (Eurographics ‐ The European Association for Computer Graphics and John Wiley & Sons Ltd., 2023)

  Fracture produces new mesh fragments that introduce additional degrees of freedom in the system dynamics. Existing finite element method (FEM) based solutions suffer from increasing computational cost as the system matrix ...

• HardVis: Visual Analytics to Handle Instance Hardness Using Undersampling and Oversampling Techniques 

  Chatzimparmpas, A.; Paulovich, F. V.; Kerren, A. (Eurographics ‐ The European Association for Computer Graphics and John Wiley & Sons Ltd., 2023)

  Despite the tremendous advances in machine learning (ML), training with imbalanced data still poses challenges in many real‐world applications. Among a series of diverse techniques to solve this problem, sampling algorithms ...

• ComVis‐Sail: Comparative Sailing Performance Visualization for Coaching 

  Pieras, M.; Marroquim, R.; Broekens, D.; Eisemann, E.; Vilanova, A. (Eurographics ‐ The European Association for Computer Graphics and John Wiley & Sons Ltd., 2023)

  During training sessions, sailors rely on feedback provided by the coaches to reinforce their skills and improve their performance. Nowadays, the incorporation of sensors on the boats enables coaches to potentially provide ...

• Visual Exploration of Financial Data with Incremental Domain Knowledge 

  Arleo, Alessio; Tsigkanos, Christos; Leite, Roger A.; Dustdar, Schahram; Miksch, Silvia; Sorger, Johannes (Eurographics ‐ The European Association for Computer Graphics and John Wiley & Sons Ltd., 2023)

  Modelling the dynamics of a growing financial environment is a complex task that requires domain knowledge, expertise and access to heterogeneous information types. Such information can stem from several sources at different ...

• Mesh Draping: Parametrization‐Free Neural Mesh Transfer 

  Hertz, A.; Perel, O.; Giryes, R.; Sorkine‐Hornung, O.; Cohen‐Or, D. (Eurographics ‐ The European Association for Computer Graphics and John Wiley & Sons Ltd., 2023)

  Despite recent advances in geometric modelling, 3D mesh modelling still involves a considerable amount of manual labour by experts. In this paper, we introduce Mesh Draping: a neural method for transferring existing mesh ...

• HDRNet: High‐Dimensional Regression Network for Point Cloud Registration 

  Gao, Jian; Zhang, Yuhe; Liu, Zehua; Li, Siyi (Eurographics ‐ The European Association for Computer Graphics and John Wiley & Sons Ltd., 2023)

  Abstract‐3D point cloud registration is a crucial topic in the reverse engineering, computer vision and robotics fields. The core of this problem is to estimate a transformation matrix for aligning the source point cloud ...

• Efficient Storage and Importance Sampling for Fluorescent Reflectance 

  Hua, Q.; Tázlar, V.; Fichet, A.; Wilkie, A. (Eurographics ‐ The European Association for Computer Graphics and John Wiley & Sons Ltd., 2023)

  We propose a technique for efficient storage and importance sampling of fluorescent spectral data. Fluorescence is fully described by a re‐radiation matrix, which for a given input wavelength indicates how much energy is ...

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