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  4. Realtime-Rendering of Dynamic Scenes with Neural Radiance Fields
 
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2025
Conference Paper
Title

Realtime-Rendering of Dynamic Scenes with Neural Radiance Fields

Abstract
Digitizing the humans and scenes around us is a challenging research topic, with results finding new and more widespread implementation in modern applications. This paper addresses the challenge of real-time rendering of dynamic 3D scenes. The proposed approach utilizes Instant Neural Graphics Primitives (iNGP), training a radiance field for each individual frame. To achieve playback rates suitable for interactive VR experiences, we developed efficient data storage and loading methods. We present a modular framework for playing real-time free-viewpoint videos on a conventional Desktop PC, to showcase research advancements of dynamic radiance fields.
Author(s)
Krause, Kilian Leonard
Fraunhofer-Institut für Nachrichtentechnik, Heinrich-Hertz-Institut HHI  
Morgenstern, Wieland
Fraunhofer-Institut für Nachrichtentechnik, Heinrich-Hertz-Institut HHI  
Hilsmann, Anna  
Fraunhofer-Institut für Nachrichtentechnik, Heinrich-Hertz-Institut HHI  
Eisert, Peter  
Fraunhofer-Institut für Nachrichtentechnik, Heinrich-Hertz-Institut HHI  
Mainwork
IEEE Conference on Virtual Reality and 3D User Interfaces Workshops, VRW 2025. Proceedings  
Conference
Conference on Virtual Reality and 3D User Interfaces 2025  
DOI
10.1109/VRW66409.2025.00345
Language
English
Fraunhofer-Institut für Nachrichtentechnik, Heinrich-Hertz-Institut HHI  
Keyword(s)
  • NeRF

  • Virtual Humans

  • Volumetric Video

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