Realtime-Rendering of Dynamic Scenes with Neural Radiance Fields

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.

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Publication Details

Published
2025-03-08
DOI
https://doi.org/10.1109/vrw66409.2025.00345
Citations
1
Primary Topic
Computer Graphics and Visualization Techniques
Type
article
Field-Weighted Citation Impact
3.54
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article

Realtime-Rendering of Dynamic Scenes with Neural Radiance Fields

Peter Eisert, Wieland Morgenstern, Anna Hilsmann, K.-H. Krause
1 citations
Computer Graphics and Visualization Techniques
3.54
article

Realtime-Rendering of Dynamic Scenes with Neural Radiance Fields

Peter Eisert, Wieland Morgenstern, Anna Hilsmann, K.-H. Krause
article en
1 citations

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.

Fraunhofer Institute for Telecommunications, Heinrich Hertz Institute (DE)
Openalex Percentile: Top 10%
Computer Graphics and Visualization Techniques
3.54
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