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    The high dynamic range imaging pipeline: Tone-mapping, distribution, and single-exposure reconstruction 

    Eilertsen, Gabriel (Linköping University Electronic Press, 2018-06-08)
    Techniques for high dynamic range (HDR) imaging make it possible to capture and store an increased range of luminances and colors as compared to what can be achieved with a conventional camera. This high amount of image ...
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    3D scene analysis through non-visual cues 

    Monszpart, Aron (University College London, 2019-10-06)
    The wide applicability of scene analysis from as few viewpoints as possible attracts the attention of many scientific fields, ranging from augmented reality to autonomous driving and robotics. When approaching 3D problems ...
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    Efficient Light-Transport Simulation Using Machine Learning 

    Müller, Thomas (ETH Zürich, 2019)
    The goal in this dissertation is the efficient synthesis of photorealistic images on a computer. Currently, by far the most popular approach for photorealistic image synthesis is path tracing, a Monte Carlo simulation of ...
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    Real-time 3D Human Body Pose Estimation from Monocular RGB Input 

    Mehta, Dushyant (Saarländische Universitäts-und Landesbibliothek, 2020-10)
    Human motion capture finds extensive application in movies, games, sports and biomechanical analysis. However, existing motion capture solutions require cumbersome external and/or on-body instrumentation, or use active ...
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    Real-time 3D Hand Reconstruction in Challenging Scenes from a Single Color or Depth Camera 

    Müller, Franziska (2020)
    Hands are one of the main enabling factors for performing complex tasks and humans naturally use them for interactions with their environment. Reconstruction and digitization of 3D hand motion opens up many possibilities ...
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    Machine Learning For Plausible Gesture Generation From Speech For Virtual Humans 

    Ferstl, Ylva (Trinity College Dublin, The University of Dublin, 2021-08-03)
    The growing use of virtual humans in an array of applications such as games, human-computer interfaces, and virtual reality demands the design of appealing and engaging characters, while minimizing the cost and time of ...
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    Detail-driven Geometry Processing Pipeline using Neural Networks 

    Wang, Yifan (ETH Research Collection, 2022-01)
    Geometry processing is an established field in computer graphics, covering a variety of topics that embody decades-long research. However, with the pressing demand of reality digitization arising in recent years, classic ...
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    Data-driven models of 3D avatars and clothing for virtual try-on 

    Santesteban, Igor (2022-07)
    Clothing plays a fundamental role in our everyday lives. When we choose clothing to buy or wear, we guide our decisions based on a combination of fit and style. For this reason, the majority of clothing is purchased at ...

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    AuthorEilertsen, Gabriel (1)Ferstl, Ylva (1)Mehta, Dushyant (1)Monszpart, Aron (1)Müller, Franziska (1)Müller, Thomas (1)Santesteban, Igor (1)Wang, Yifan (1)Subject
    machine learning (8)
    computer vision (3)3d hand reconstruction (1)acquisition (1)animation (1)clothing animation (1)co-speech gesture (1)computer animation (1)computer graphics (1)conversational agents (1)... View MoreDate Issued2019 (2)2020 (2)2022 (2)2018 (1)2021 (1)Has File(s)
    true (8)

    Eurographics Association copyright © 2013 - 2023 
    Send Feedback | Contact - Imprint | Data Privacy Policy | Disable Google Analytics
    Theme by @mire NV
    System hosted at  Graz University of Technology.
    TUGFhA