Now showing items 28-32 of 32

    • TopoNet: Topology Learning for 3D Reconstruction of Objects of Arbitrary Genus 

      Ben Charrada, Tarek; Tabia, Hedi; Chetouani, Aladine; Laga, Hamid (© 2022 Eurographics ‐ The European Association for Computer Graphics and John Wiley & Sons Ltd., 2022)
      We propose a deep reinforcement learning‐based solution for the 3D reconstruction of objects of complex topologies from a single RGB image. We use a template‐based approach. However, unlike previous template‐based methods, ...
    • Transforming an Adjacency Graph into Dimensioned Floorplan Layouts 

      Bisht, Sumit; Shekhawat, Krishnendra; Upasani, Nitant; Jain, Rahil N.; Tiwaskar, Riddhesh Jayesh; Hebbar, Chinmay (© 2022 Eurographics ‐ The European Association for Computer Graphics and John Wiley & Sons Ltd., 2022)
      In recent times, researchers have proposed several approaches for building floorplans using parametric/generative design, shape grammars, machine learning, AI, . This paper aims to demonstrate a mathematical approach for ...
    • Transition Motion Synthesis for Object Interaction based on Learning Transition Strategies 

      Hwang, Jaepyung; Park, Gangrae; Kwon, Taesoo; Ishii, Shin (© 2022 Eurographics ‐ The European Association for Computer Graphics and John Wiley & Sons Ltd., 2022)
      In this study, we focus on developing a motion synthesis framework that generates a natural transition motion between two different behaviours to interact with a moving object. Specifically, the proposed framework generates ...
    • Visual Analytics of Multivariate Intensive Care Time Series Data 

      Brich, N.; Schulz, C.; Peter, J.; Klingert, W.; Schenk, M.; Weiskopf, D.; Krone, M. (© 2022 Eurographics ‐ The European Association for Computer Graphics and John Wiley & Sons Ltd., 2022)
      We present an approach for visual analysis of high‐dimensional measurement data with varying sampling rates as routinely recorded in intensive care units. In intensive care, most assessments not only depend on one single ...
    • Wide Gamut Moment‐based Constrained Spectral Uplifting 

      Tódová, L.; Wilkie, A.; Fascione, L. (© 2022 Eurographics ‐ The European Association for Computer Graphics and John Wiley & Sons Ltd., 2022)
      Spectral rendering is increasingly used in appearance‐critical rendering workflows due to its ability to predict colour values under varying illuminants. However, directly modelling assets via input of spectral data is a ...