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17121 research outputs found
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Kickin' Scarves: Time-Oriented Visual Comparison of Soccer Trajectories
No full textLine-based trajectory drawings face several shortcomings in time-oriented visual comparison scenarios, primarily in their facilitation of the comparison itself as well as in their representation of time. To investigate these challenges, we perform an exploratory study focused on the application of scarf plots to the evaluation of tactics performance in soccer games. While our visual analytics prototype, Kickin' Scarves, manages to avoid the shortcomings of line-based trajectory visualizations, the application of scarf plots to real-world problems poses several design challenges that have not yet been addressed in research.EuroVis 2025 - PostersPosters and Demo
Towards Diversity-Oriented Exhibition Planning: Findings from the Kura: Div Study in Austrian Museums
No full textThis paper presents findings from an online survey among Austrian museum professionals, conducted as part of the Kura:Div project. The survey examined how diversity and inclusion are considered in exhibition planning, what strategies and accessibility measures exist, how their effectiveness is evaluated, and how museums collaborate with external communities. Results show that while the majority of institutions acknowledge audience diversity and have taken first steps toward inclusion, efforts are often fragmented, project-based, and reliant on individual initiatives rather than embedded in institutional structures.Digital HeritagePoster
Efficient Perspective-Correct 3D Gaussian Splatting Using Hybrid Transparency
No full text3D Gaussian Splats (3DGS) have proven a versatile rendering primitive, both for inverse rendering as well as real-time exploration of scenes. In these applications, coherence across camera frames and multiple views is crucial, be it for robust convergence of a scene reconstruction or for artifact-free fly-throughs. Recent work started mitigating artifacts that break multi-view coherence, including popping artifacts due to inconsistent transparency sorting and perspective-correct outlines of (2D) splats. At the same time, real-time requirements forced such implementations to accept compromises in how transparency of large assemblies of 3D Gaussians is resolved, in turn breaking coherence in other ways. In our work, we aim at achieving maximum coherence, by rendering fully perspective-correct 3D Gaussians while using a high-quality approximation of accurate blending, hybrid transparency, on a per-pixel level, in order to retain real-time frame rates. Our fast and perspectively accurate approach for evaluation of 3D Gaussians does not require matrix inversions, thereby ensuring numerical stability and eliminating the need for special handling of degenerate splats, and the hybrid transparency formulation for blending maintains similar quality as fully resolved per-pixel transparencies at a fraction of the rendering costs. We further show that each of these two components can be independently integrated into Gaussian splatting systems. In combination, they achieve up to 2× higher frame rates, 2× faster optimization, and equal or better image quality with fewer rendering artifacts compared to traditional 3DGS on common benchmarks.Computer Graphics ForumSplat-tacular Radiance Fields44
MARV: Multiview Augmented Reality Visualisation for Exploring Rich Material Data
No full textRich material data is complex, large and heterogeneous, integrating primary and secondary non-destructive testing data for spatial, spatio-temporal, as well as high-dimensional data analyses. Currently, materials experts mainly rely on conventional desktop-based systems using 2D visualisation techniques, which render respective analyses a time-consuming and mentally demanding challenge. MARV is a novel immersive visual analytics system, which makes analyses of such data more effective and engaging in an augmented reality setting. For this purpose, MARV includes three newly designed visualisation techniques: MDD Glyphs with a Skewness Kurtosis Mapper, Temporal Evolution Tracker, and Chrono Bins, facilitating interactive exploration and comparison of multidimensional distributions of attribute data from multiple time steps. A qualitative evaluation conducted with materials experts in a real-world case study demonstrates the benefits of the proposed visualisation techniques. This evaluation revealed that combining spatial and abstract data in an immersive environment improves their analytical capabilities and facilitates the identification of patterns, anomalies, as well as changes over time.Computer Graphics ForumOriginal Article44
Exploratory Analysis of Scientific Publications for University Governance
No full textResearch-oriented universities often comprise numerous researchers of various types and possess complex research structures that encompass research groups, departments, laboratories, and research institutes. In this situation, understanding the university's strengths and areas of excellence requires careful examination. Additionally, individuals at different levels of governance (e.g., department heads, directors of research institutes, rectors) may seek to establish synergies among researchers to tackle issues such as international project applications or industry technology transfer. University officials and faculty members frequently require the expertise of specific research groups or individuals, but struggle to obtain this information beyond their personal networks. This limits their ability to locate necessary resources effectively. Fortunately, most institutions have databases containing publications that could provide valuable insights into areas of strength within the university. In this article, we present a visual analysis application capable of addressing these questions and assisting management in making informed decisions regarding governance measures such as creating new research institutes. Our system has been evaluated by domain experts, who found it highly beneficial and expressed interest in utilising it regularly.Computer Graphics ForumOriginal Article44
Semi-supervised Dual-teacher Comparative Learning with Bidirectional Bisect Copy-paste for Medical Image Segmentation
No full textSemi-supervised learning leverages limited pixel-level annotated data and abundant unlabeled data to achieve effective semantic image segmentation. To address this, we propose a semi-supervised learning framework, integrated with a bidirectional bisect copy-paste (B2P) mechanism. We introduce a B2CP strategy applied to labeled and unlabeled data in the second teacher network, preserving both data types to enhance training diversity. This mechanism, coupled with copy-paste-based supervision for the student network, effectively mitigates interference from uncontrollable regions. Extensive experiments on the ACDC public datasets demonstrate the efficiency of the proposed model. It surpasses the fully supervised U-Net at a 5% labeled data and 20% labeled data.Pacific Graphics Conference Papers, Posters, and DemosPosters and Demo
Inverse Simulation of Radiative Thermal Transport
No full textThe early phase of urban planning and architectural design has a great impact on the thermal loads and characteristics of constructed buildings. It is, therefore, important to efficiently simulate thermal effects early on and rectify possible problems. In this paper, we present an inverse simulation of radiative heat transport and a differentiable photon-tracing approach. Our method utilizes GPU-accelerated ray tracing to speed up both the forward and adjoint simulation. Moreover, we incorporate matrix compression to further increase the efficiency of our thermal solver and support larger scenes. In addition to our differentiable photon-tracing approach, we introduce a novel approximate edge sampling scheme that re-uses primary samples instead of relying on explicit edge samples or auxiliary rays to resolve visibility discontinuities. Our inverse simulation system enables designers to not only predict the temperature distribution, but also automatically optimize the design to improve thermal comfort and avoid problematic configurations. We showcase our approach using several examples in which we optimize the placement of buildings or their facade geometry. Our approach can be used to optimize arbitrary geometric parameterizations and supports steady-state, as well as transient simulations.Computer Graphics ForumLighting the Way: Scattering and Transport in Rendering44
Immersive and Interactive Learning With eDIVE: A Solution for Creating Collaborative VR Education Experiences
No full textVirtual reality (VR) technology has become increasingly popular in education as a tool for enhancing learning experiences and engagement. This paper addresses the lack of a suitable tool for creating multi‐user immersive educational content for virtual environments by introducing a novel solution called eDIVE. The solution is designed to facilitate the development of collaborative immersive educational VR experiences. Developed in close collaboration with psychologists and educators, it addresses specific functional needs identified by these professionals. eDIVE allows creators to extensively modify, expand or develop entirely new VR experiences. eDIVE ultimately makes collaborative VR education more accessible and inclusive for all stakeholders. Its utility is demonstrated through exemplary learning scenarios, developed in collaboration with experienced educators, and evaluated through real‐world user studies.Computer Graphics ForumOriginal Article44
Deployable, Modular, and Reconfigurable: Computational Design of Umbrella Meshes
No full textDeployable structures that transform from a planar assembly-friendly compact state to an expansive freeform surface state have diverse applications in robotics, medical devices, temporary installations, and architecture. Umbrella Meshes are a new class of volumetric deployable structures with extensive shape expression capabilities compared to existing plane-to-surface deployables. They are modular, made of Umbrella cells consisting of identical rigid plates and rotational joints connected by elastic beams of varying heights. Deployment is actuated by pushing the cells orthogonal to the plane, rotating the elastic beams from vertical to horizontal configurations, thus redistributing material from out of the plane into it. In contrast to rigid scissor mechanisms, the beams deform elastically, making the deployed equilibrium bending-active. Assembled in a stress-free planar configuration, an Umbrella Mesh can be programmed to deploy to a desired target shape by virtue of the optimized heights of the constituent cells. The rich design space facilitates programming a large range of target shapes, controlling the structural stiffness, and encoding extrinsic curvature.
This thesis contributes a comprehensive computational framework for the design and optimization of Umbrella Meshes. To facilitate design exploration of the deployed structure, we develop a physics-based simulation modeling the deployment process under actuation forces. We abstract the deployment transformation of an umbrella mesh using conformal geometry, providing intuitive design initializations for a specific target surface. Our inverse design algorithm leverages the simulation pipeline and numerical optimization to iteratively refine a design to approximate a target surface while minimizing the elastic energy and actuation forces involved. We build optimized physical prototypes through digital fabrication and validate our computational pipeline.
The inverse design framework exemplifies a design-driven approach to fabricating optimized physical structures. The latter half of this thesis focuses on fabrication-driven design. We develop a computational framework to rationalize bending-active structures into a sparse kit of parts, allowing cost-effective fabrication. Our method can either find an optimal kit of parts for multiple input designs or rationalize existing designs to use a pre-fabricated kit of parts. To tackle the non-trivial coupling of components in bending-active systems, we propose a relaxed continuous formulation of the combinatorial problem of grouping components to a sparse part set, allowing us to incorporate physics-based simulation that tracks multiple bending-active equilibria. We demonstrate our approach on Umbrella Meshes, C-shells, and orthogonal gridshells.
The thesis culminates with Reconfigurable Umbrella Meshes (RUMs) consisting of identical reconfigurable cells. Each reconfigurable cell can assume the form of a continuous range of parts, thus combining the benefits of pre-fabrication and precisely inverse-designed heights. Assembled from these identical mass-producible cells, the same RUM can deploy into several shapes over multiple deployment cycles. Our inverse design enables precise reconfiguration of the compact state and opens up multiple research avenues for high-fidelity shape morphing control with applications in soft robotics and sustainable architecture.EG Graphics Dissertation Onlin