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Continuous-Line Image Stylization Based on Hilbert Curve
No full textHorizontal and vertical lines hold significant aesthetic and psychological importance, providing a sense of order, stability, and security. This paper presents an image stylization method that quickly generates non-self-intersecting and regular continuous lines based on the Hilbert curve, a well-known space-filling curve consisting of only horizontal and vertical segments. We first calculate the grayscale threshold based on gray quantization for the original image and recursively subdivide the cells according to the density in each cell. To avoid generating new feature curves due to limited gray quantization, a recursive subdivision with probability is designed to smooth the density. Then, we utilize the rule of Hilbert curve to generate continuous lines connecting all the cells. Between different degrees of Hilbert curves, bridge curves composed of horizontal and vertical lines are constructed, which are also intersection-free, instead of a straight line linking them directly. There are two parameters provided for feasibly adjusting variate effects. The image stylization framework could be generalized to other space-filling curves like the Peano curve. Compared to existing methods, our approach can generate pleasing results quickly and is fully automated. Many results show our method is robust and effective.Computer Graphics ForumStylization and Image Processing44
Corotational Hinge-based Thin Plates/Shells
No full textWe present six thin plate/shell models, derived from three distinct types of curvature operators formulated within the corotational frame, for simulating both rest-flat and rest-curved triangular meshes. Each curvature operator derives a curvature expression corresponding to both a plate model and a shell model. The corotational edge-based hinge model uses an edge-based stencil to compute directional curvature, while the corotational FVM hinge model utilizes a triangle-centered stencil, applying the finite volume method (FVM) to superposition directional curvatures across edges, yielding a generalized curvature. The corotational smoothed hinge model also employs a triangle-centered stencil but transforms directional curvatures into a generalized curvature based on a quadratic surface fit. All models assume small strain and small curvature, leading to constant bending energy Hessians, which benefit implicit integrators. Through quantitative benchmarks and qualitative elastodynamic simulations with large time steps, we demonstrate the accuracy, efficiency, and stability of these models. Our contributions enhance the thin plate/shell library for use in both computer graphics and engineering applications.Computer Graphics ForumSoft Bodies, Strands, and Silks44
Isosurface Extraction for Signed Distance Functions using Power Diagrams
No full textContouring an implicit function typically considers function values in the vicinity of the desired level set, only. In a recent string of works, Sellán at al. have demonstrated that signed distance values contain useful information also if they are further away from the surface. This can be exploited to increase the resolution and amount of detail in surface reconstruction from signed distance values. We argue that the right tool for this analysis is a regular triangulation of the distance samples, with the weights chosen based on the distance values. The resulting triangulation is better suited for reconstructing the surface than a standard Delaunay triangulation of the samples. Moreover, the dual power diagram encodes the envelope enclosing the surface, consisting of spherical caps. We discuss how this information can be exploited for reconstructing the surface. In particular, the approach based on regular triangulations lends itself well to refining the sample set. Refining the sample set based on the power diagram outperforms other reconstruction methods relative to the sample count.Computer Graphics ForumGeometrically, Parametrically Speaking44
DOBB-BVH: Efficient Ray Traversal by Transforming Wide BVHs into Oriented Bounding Box Trees using Discrete Rotations
No full textOriented bounding box (OBB) bounding volume hierarchies offer a more precise fit than axis-aligned bounding box hierarchies in scenarios with thin elongated and arbitrarily rotated geometry, enhancing intersection test performance in ray tracing. However, determining optimally oriented bounding boxes can be computationally expensive and have high memory requirements. Recent research has shown that pre-built hierarchies can be efficiently converted to OBB hierarchies on the GPU in a bottom-up pass, yielding significant ray tracing traversal improvements. In this paper, we introduce a novel OBB construction technique where all internal node children share a consistent OBB transform, chosen from a fixed set of discrete quantized rotations. This allows for efficient encoding and reduces the computational complexity of OBB transformations. We further extend our approach to hierarchies with multiple children per node by leveraging Discrete Orientation Polytopes (k-DOPs), demonstrating improvements in traversal performance while limiting the build time impact for real-time applications. Our method is applied as a post-processing step, integrating seamlessly into existing hierarchy construction pipelines. Despite a 12.6% increase in build time, our experimental results demonstrate an average improvement of 18.5% in primary, 32.4% in secondary rays, and maximum gain of 65% in ray intersection performance, highlighting its potential for advancing real-time applications.Computer Graphics ForumBounding Volume Hierarchies44
Transparent Risks Revisited: Evidence for a Dark-is-More Bias in Risk Perception
No full textPrior research has shown that different representations of uncertainty in data visualizations can lead to more (or less) riskaverse decision making. It is crucial for researchers to develop a better scientific understanding of these effects so that visualizations such as hazard maps can be designed to support viewers in reasoning about risk and probability. This paper presents a follow-up to a prior study that showed that participants underestimated the risk from a wildfire when transparency was used to represent different risk levels. In the present study, we test the hypothesis that the participants' decisions about risk are influenced by the dark-is-more bias. Across three experiments using the same wildfire evacuation task, we found that participants were consistently more likely to evacuate when the probability bands representing the fire risk were darker.EuroVis 2025 - Short PapersEmpirical and Perception Studie
CGS: Continual Gaussian Splatting for Evolving 3D Scene Reconstruction
No full text3D Gaussian Splatting (3DGS) has gained significant attention for its fast optimization and high-quality rendering capabilities. However, in the context of continual scene reconstruction, optimizing newly observed regions often leads to degradation in previously reconstructed areas due to changes in camera viewpoints. To address this issue, we propose Continual Gaussian Splatting (CGS)-an efficient incremental reconstruction method that updates dynamic scenes using only a limited amount of new data while minimizing computational overhead. CGS is composed of three core components. First, we introduce a similarity-based registration algorithm that leverages the strong semantic understanding and translation invariance of pretrained Transformers to identify and align similar regions between new and existing scenes. These regions are then modeled as Gaussian Mixture Models (GMMs) to handle sparsity and outliers in point clouds, ensuring geometric consistency across scenes. Second, we propose Continual Gaussian Optimization (CGO), an importance-aware optimization strategy. By computing the Fisher Information Matrix, we evaluate the significance of each Gaussian point in the old scene and automatically restrict updates to those deemed critical, allowing only non-sensitive components to be adjusted. This ensures the preservation of the original scene while efficiently integrating new content. Finally, to address remaining issues such as geometric inconsistencies, blurring, and ghosting artifacts during optimization, we introduce a series of geometric regularization techniques. These terms guide the optimization toward geometrically coherent 3D structures, ultimately enhancing rendering quality. Extensive experiments demonstrate that CGS effectively mitigates forgetting and significantly improves overall reconstruction fidelity.Pacific Graphics Conference Papers, Posters, and DemosPoint Clouds & Gaussian Splattin
Beyond Participation: A Quadruple Helix Approach to Digital Cultural Heritage and Inclusive Stakeholder Engagement
No full textThe digitization of cultural heritage offers significant opportunities for preservation, maintenance, and promotion. However, it also presents challenges in terms of representation and the exhibition of content, particularly for the cultural heritage of minorities. Recent discourse has brought co-creation methodologies to the forefront as a transformative strategy, leveraging the collective expertise of communities, governments, and institutions to surmount the limitations of traditional, hierarchical models. These methodologies, which emphasize cultural democracy and equity, seek to involve a diverse array of stakeholders in the preservation and decision-making processes surrounding heritage. Despite these advances, there remains a lack of a unified model capable of fully elucidating the diverse roles of stakeholders in cultural heritage digitization. This gap underlines the need for a framework that not only democratizes access to cultural heritage but also reshapes stakeholder roles by integrating digital audiences and communities into the ecosystem, thereby redefining cultural heritage as a dynamic, living process that spans social, economic, and technological dimensions. The primary objective of this paper is to foster a deep understanding of the roles, motivations, and prerequisites of stakeholders involved in the digitization process, with a special focus on minority communities. This involves mapping the current digitization policies, academic narratives, and practices in cultural heritage across Europe, exploring the limitations of existing participatory models, examining the roles of diverse stakeholders in heritage digitization, and proposing a more integrated Quadruple Helix Ecosystem Framework that accounts for technological, social, and policy-driven dynamics. The focus on minority communities serves as a key case study, demonstrating how co-creation methodologies reshape cultural heritage as a living, evolving process.Digital HeritageDigital Technologies for CHANGES (CHANGES SESSION) - Part
Co-production in Digital Cultural Heritage: Bridging communication, Community, and Sustainability
No full textCo-production has become crucial for Digital Cultural Heritage (Whitehead et al., 2021), based on stakeholder participation and redesign of traditional approaches (Cooper et al., 2021). The study aims to understand the use of digital strategies to foster co-production in the management of cultural heritage. Furthermore, it explores the consistency of such a management of cultural heritage with sustainability standards and the associated impact from citizens' and public decision-makers' perspectives. To that end, a multiple case study analysis on three Italian case studies was conducted: Via Francigena, Via degli Dei, and ''I Borghi più Belli d'Italia''. Findings highlight a strong alignment between co-production and public value theories. The cases show how collaboration is not incidental but rather the foundation of these projects' success: citizens and local stakeholders perceive themselves as partners in the heritage initiatives. All cases also developed governance arrangements that facilitate collaboration across organizational and jurisdictional boundaries, enabling the co-production.Digital HeritageDigital Heritage, Tourism, and Sustainabilit
Survey of Inter‐Prediction Methods for Time‐Varying Mesh Compression
No full textTime‐varying meshes (TVMs), that is mesh sequences with varying connectivity, are a greatly versatile representation of shapes evolving in time, as they allow a surface topology to change or details to appear or disappear at any time during the sequence. This, however, comes at the cost of large storage size. Since 2003, there have been attempts to compress such data efficiently. While the problem may seem trivial at first sight, considering the strong temporal coherence of shapes represented by the individual frames, it turns out that the varying connectivity and the absence of implicit correspondence information that stems from it makes it rather difficult to exploit the redundancies present in the data. Therefore, efficient and general TVM compression is still considered an open problem. We describe and categorize existing approaches while pointing out the current challenges in the field and hint at some related techniques that might be helpful in addressing them. We also provide an overview of the reported performance of the discussed methods and a list of datasets that are publicly available for experiments. Finally, we also discuss potential future trends in the field.Computer Graphics ForumMajor Revision from Eurographics Conference44
