Now showing items 141-160 of 243

    • Generative Adversarial Shaders for Real-Time Realism Enhancement 

      Salmi, Arturo; Cséfalvay, Szabolcs; Imber, James (The Eurographics Association and John Wiley & Sons Ltd., 2023)
      Application of realism enhancement methods, particularly in real-time and resource-constrained settings, has been frustrated by the expense of existing methods. These achieve high quality results only at the cost of long ...
    • Real-Time Ray Tracing of Micro-Poly Geometry with Hierarchical Level of Detail 

      Benthin, Carsten; Peters, Christoph (The Eurographics Association and John Wiley & Sons Ltd., 2023)
      In recent work, Nanite has demonstrated how to rasterize virtualized micro-poly geometry in real time, thus enabling immense geometric complexity. We present a system that employs similar methods for real-time ray tracing ...
    • Sampling Visible GGX Normals with Spherical Caps 

      Dupuy, Jonathan; Benyoub, Anis (The Eurographics Association and John Wiley & Sons Ltd., 2023)
      Importance sampling the distribution of visible GGX normals requires sampling those of a hemisphere. In this work, we introduce a novel method for sampling such visible normals. Our method builds upon the insight that a ...
    • Real-Time Rendering of Glinty Appearances using Distributed Binomial Laws on Anisotropic Grids 

      Deliot, Thomas; Belcour, Laurent (The Eurographics Association and John Wiley & Sons Ltd., 2023)
      In this work, we render in real-time glittery materials caused by discrete flakes on the surface. To achieve this, one has to count the number of flakes reflecting the light towards the camera within every texel covered ...
    • Edge-Friend: Fast and Deterministic Catmull-Clark Subdivision Surfaces 

      Kuth, Bastian; Oberberger, Max; Chajdas, Matthäus; Meyer, Quirin (The Eurographics Association and John Wiley & Sons Ltd., 2023)
      We present edge-friend, a data structure for quad meshes with access to neighborhood information required for Catmull-Clark subdivision surface refinement. Edge-friend enables efficient real-time subdivision surface ...
    • High-Performance Graphics 2023 CGF 42-8: Frontmatter 

      Bikker, Jacco; Gribble, Christiaan (The Eurographics Association and John Wiley & Sons Ltd., 2023)
    • Visual Analytics on Network Forgetting for Task-Incremental Learning 

      Li, Ziwei; Xu, Jiayi; Chao, Wei-Lun; Shen, Han-Wei (The Eurographics Association and John Wiley & Sons Ltd., 2023)
      Task-incremental learning (Task-IL) aims to enable an intelligent agent to continuously accumulate knowledge from new learning tasks without catastrophically forgetting what it has learned in the past. It has drawn increasing ...
    • Doom or Deliciousness: Challenges and Opportunities for Visualization in the Age of Generative Models 

      Schetinger, Victor; Bartolomeo, Sara Di; El-Assady, Mennatallah; McNutt, Andrew; Miller, Matthias; Passos, João Paulo Apolinário; Adams, Jane L. (The Eurographics Association and John Wiley & Sons Ltd., 2023)
      Generative text-to-image models (as exemplified by DALL-E, MidJourney, and Stable Diffusion) have recently made enormous technological leaps, demonstrating impressive results in many graphical domains-from logo design to ...
    • LINGO : Visually Debiasing Natural Language Instructions to Support Task Diversity 

      Arunkumar, Anjana; Sharma, Shubham; Agrawal, Rakhi; Chandrasekaran, Sriram; Bryan, Chris (The Eurographics Association and John Wiley & Sons Ltd., 2023)
      Cross-task generalization is a significant outcome that defines mastery in natural language understanding. Humans show a remarkable aptitude for this, and can solve many different types of tasks, given definitions in the ...
    • VISITOR: Visual Interactive State Sequence Exploration for Reinforcement Learning 

      Metz, Yannick; Bykovets, Eugene; Joos, Lucas; Keim, Daniel; El-Assady, Mennatallah (The Eurographics Association and John Wiley & Sons Ltd., 2023)
      Understanding the behavior of deep reinforcement learning agents is a crucial requirement throughout their development. Existing work has addressed the identification of observable behavioral patterns in state sequences ...
    • Been There, Seen That: Visualization of Movement and 3D Eye Tracking Data from Real-World Environments 

      Pathmanathan, Nelusa; Öney, Seyda; Becher, Michael; Sedlmair, Michael; Weiskopf, Daniel; Kurzhals, Kuno (The Eurographics Association and John Wiley & Sons Ltd., 2023)
      The distribution of visual attention can be evaluated using eye tracking, providing valuable insights into usability issues and interaction patterns. However, when used in real, augmented, and collaborative environments, ...
    • Visual Gaze Labeling for Augmented Reality Studies 

      Öney, Seyda; Pathmanathan, Nelusa; Becher, Michael; Sedlmair, Michael; Weiskopf, Daniel; Kurzhals, Kuno (The Eurographics Association and John Wiley & Sons Ltd., 2023)
      Augmented Reality (AR) provides new ways for situated visualization and human-computer interaction in physical environments. Current evaluation procedures for AR applications rely primarily on questionnaires and interviews, ...
    • Illustrative Motion Smoothing for Attention Guidance in Dynamic Visualizations 

      Eschner, Johannes; Mindek, Peter; Waldner, Manuela (The Eurographics Association and John Wiley & Sons Ltd., 2023)
      3D animations are an effective method to learn about complex dynamic phenomena, such as mesoscale biological processes. The animators' goals are to convey a sense of the scene's overall complexity while, at the same time, ...
    • Evaluating View Management for Situated Visualization in Web-based Handheld AR 

      Batch, Andrea; Shin, Sungbok; Liu, Julia; Butcher, Peter W. S.; Ritsos, Panagiotis D.; Elmqvist, Niklas (The Eurographics Association and John Wiley & Sons Ltd., 2023)
      As visualization makes the leap to mobile and situated settings, where data is increasingly integrated with the physical world using mixed reality, there is a corresponding need for effectively managing the immersed user's ...
    • ParaDime: A Framework for Parametric Dimensionality Reduction 

      Hinterreiter, Andreas; Humer, Christina; Kainz, Bernhard; Streit, Marc (The Eurographics Association and John Wiley & Sons Ltd., 2023)
      ParaDime is a framework for parametric dimensionality reduction (DR). In parametric DR, neural networks are trained to embed high-dimensional data items in a low-dimensional space while minimizing an objective function. ...
    • Beyond Alternative Text and Tables: Comparative Analysis of Visualization Tools and Accessibility Methods 

      Kim, Nam Wook; Ataguba, Grace; Joyner, Shakila Cherise; Zhao, Chuangdian; Im, Hyejin (The Eurographics Association and John Wiley & Sons Ltd., 2023)
      Modern visualization software and programming libraries have made data visualization construction easier for everyone. However, the extent of accessibility design they support for blind and low-vision people is relatively ...
    • Unfolding Edges: Adding Context to Edges in Multivariate Graph Visualization 

      Bludau, Mark-Jan; Dörk, Marian; Tominski, Christian (The Eurographics Association and John Wiley & Sons Ltd., 2023)
      Existing work on visualizing multivariate graphs is primarily concerned with representing the attributes of nodes. Even though edges are the constitutive elements of networks, there have been only few attempts to visualize ...
    • WYTIWYR: A User Intent-Aware Framework with Multi-modal Inputs for Visualization Retrieval 

      Xiao, Shishi; Hou, Yihan; Jin, Cheng; Zeng, Wei (The Eurographics Association and John Wiley & Sons Ltd., 2023)
      Retrieving charts from a large corpus is a fundamental task that can benefit numerous applications such as visualization recommendations. The retrieved results are expected to conform to both explicit visual attributes ...
    • DASS Good: Explainable Data Mining of Spatial Cohort Data 

      Wentzel, Andrew; Floricel, Carla; Canahuate, Guadalupe; Naser, Mohamed A.; Mohamed, Abdallah S.; Fuller, Clifton David; Dijk, Lisanne van; Marai, G. Elisabeta (The Eurographics Association and John Wiley & Sons Ltd., 2023)
      Developing applicable clinical machine learning models is a difficult task when the data includes spatial information, for example, radiation dose distributions across adjacent organs at risk. We describe the co-design of ...
    • GO-Compass: Visual Navigation of Multiple Lists of GO terms 

      Harbig, Theresa; Paz, Mathias Witte; Nieselt, Kay (The Eurographics Association and John Wiley & Sons Ltd., 2023)
      Analysis pipelines in genomics, transcriptomics, and proteomics commonly produce lists of genes, e.g., differentially expressed genes. Often these lists overlap only partly or not at all and contain too many genes for ...