Now showing items 141-160 of 2886

    • Luminance-Preserving and Temporally Stable Daltonization 

      Ebelin, Pontus; Crassin, Cyril; Denes, Gyorgy; Oskarsson, Magnus; Åström, Kalle; Akenine-Möller, Tomas (The Eurographics Association, 2023)
      We propose a novel, real-time algorithm for recoloring images to improve the experience for a color vision deficient observer. The output is temporally stable and preserves luminance, the most important visual cue. It runs ...
    • Velocity-Based LOD Reduction in Virtual Reality: A Psychophysical Approach 

      Petrescu, David; Warren, Paul A.; Montazeri, Zahra; Pettifer, Steve (The Eurographics Association, 2023)
      Virtual Reality headsets enable users to explore the environment by performing self-induced movements. The retinal velocity produced by such motion reduces the visual system's ability to resolve fine detail. We measured ...
    • Text2PointCloud: Text-Driven Stylization for Sparse PointCloud 

      Hwang, Inwoo; Kim, Hyeonwoo; Lim, Donggeun; Park, Inbum; Kim, Young Min (The Eurographics Association, 2023)
      We present Text2PointCloud, a method to process sparse, noisy point cloud input and generate high-quality stylized output. Given point cloud data, our iterative pipeline stylizes and deforms points guided by a text description ...
    • Is Drawing Order Important? 

      Qiu, Sherry; Wang, Zeyu; McMillan, Leonard; Rushmeier, Holly; Dorsey, Julie (The Eurographics Association, 2023)
      The drawing process is crucial to understanding the final result of a drawing. There has been a long history of understanding human drawing; what kinds of strokes people use and where they are placed. An area of interest ...
    • PointCloudSlicer: Gesture-based Segmentation of Point Clouds 

      Gowtham, Hari Hara; Parakkat, Amal Dev; Cani, Marie-Paule (The Eurographics Association, 2023)
      Segmentation is a fundamental problem in point-cloud processing, addressing points classification into consistent regions, the criteria for consistency being based on the application. In this paper, we introduce a simple, ...
    • CLIP-based Neural Neighbor Style Transfer for 3D Assets 

      Mishra, Shailesh; Granskog, Jonathan (The Eurographics Association, 2023)
      We present a method for transferring the style from a set of images to the texture of a 3D object. The texture of an asset is optimized with a differentiable renderer and losses using pretrained deep neural networks. More ...
    • Guiding Light Trees for Many-Light Direct Illumination 

      Hamann, Eric; Jung, Alisa; Dachsbacher, Carsten (The Eurographics Association, 2023)
      Path guiding techniques reduce the variance in path tracing by reusing knowledge from previous samples to build adaptive sampling distributions. The Practical Path Guiding (PPG) approach stores and iteratively refines an ...
    • Out-of-the-loop Autotuning of Metropolis Light Transport with Reciprocal Probability Binning 

      Herveau, Killian; Otsu, Hisanari; Dachsbacher, Carsten (The Eurographics Association, 2023)
      The performance of Markov Chain Monte Carlo (MCMC) rendering methods depends heavily on the mutation strategies and their parameters. We treat the underlying mutation strategies as black-boxes and focus on their parameters. ...
    • Efficient Needle Insertion Simulation using Hybrid Constraint Solver and Isolated DOFs 

      Martin, Claire; Zeng, Ziqiu; Courtecuisse, Hadrien (The Eurographics Association, 2023)
      This paper introduces a real-time compatible method to improve the location of constraints between a needle and tissues in the context of needle insertion simulation. This method is based on intersections between the Finite ...
    • Towards L-System Captioning for Tree Reconstruction 

      Magnusson, Jannes S.; Hilsmann, Anna; Eisert, Peter (The Eurographics Association, 2023)
      This work proposes a novel concept for tree and plant reconstruction by directly inferring a Lindenmayer-System (L-System) word representation from image data in an image captioning approach. We train a model end-to-end ...
    • Quick-Pro-Build: A Web-based Approach for Quick Procedural 3D Reconstructions of Buildings 

      Bohlender, Bela; Mühlhäuser, Max; Guinea, Alejandro Sanchez (The Eurographics Association, 2023)
      We present Quick-Pro-Build, a web-based approach for quick procedural 3D reconstruction of buildings. Our approach allows users to quickly and easily create realistic 3D models using two integrated reference views: street ...
    • Photogrammetric Reconstruction of a Stolen Statue 

      Liu, Zishun; Doubrovski, Eugeni L.; Geraedts, Jo M. P.; Wang, Wenting; Yam, Yeung; Wang, Charlie C. L. (The Eurographics Association, 2023)
      In this paper, we propose a method to reconstruct a digital 3D model of a stolen/damaged statue using photogrammetric methods. This task is challenging because the number of available photos for a stolen statue is in general ...
    • Modern High Dynamic Range Imaging at the Time of Deep Learning 

      Banterle, Francesco; Artusi, Alessandro (The Eurographics Association, 2023)
      In this tutorial, we introduce how the High Dynamic Range (HDR) imaging field has evolved in this new era where machine learning approaches have become dominant. The main reason of this success is that the use of machine ...
    • EUROGRAPHICS 2023: Tutorials Frontmatter 

      Serrano, Ana; Slusallek, Philipp (Eurographics Association, 2023)
    • Using Vulkan for Graphics Research 

      Castorina, Marco; Sassone, Gabriel (The Eurographics Association, 2023)
      The Vulkan API has has been released in 2016 and it has continued to evolve to include the latest hardware capabilities. Compared to OpenGL, it is a more verbose API that requires a deeper knowledge of the underlying ...
    • Learning with Music Signals: Technology Meets Education 

      Müller, Meinard (The Eurographics Association, 2023)
      Music information retrieval (MIR) is an exciting and challenging research area that aims to develop techniques and tools for organizing, analyzing, retrieving, and presenting music-related data. Being at the intersection ...
    • Effective User Studies in Computer Graphics 

      Malpica, Sandra; Sun, Qi; Kellnhofer, Petr; Beacco, Alejandro; Senel, Gizem; McDonnell, Rachel; Flores Vargas, Mauricio (The Eurographics Association, 2023)
      User studies are a useful tool for researchers, allowing them to collect data on how users perceive, interact with and process different types of sensory information. If planned in advance, user experiments can be leveraged ...
    • SOFA: an Open-source Solution for Physics Simulation 

      Talbot, Hugo (The Eurographics Association, 2022)
      SOFA is an open-source framework for interactive physics simulation and is being developed for more than 16 years. Today, SOFA benefits from a large international community made up of research centers and companies. The ...
    • Practical Machine Learning for Rendering: From Research to Deployment 

      Marshall, Carl S.; Vembar, Deepak S.; Ganguly, Sujoy; Guinier, Florent (The Eurographics Association, 2022)
      Applying machine learning to improve graphics rendering or asset pipelines is challenging. Practicalities such as proprietary datasets, network retraining, and deployment issues make it difficult to translate published ...
    • EUROGRAPHICS 2022: Tutorials Frontmatter 

      Hahmann, Stefanie; Patow, Gustavo A. (The Eurographics Association, 2022)