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.
Authors
- Peter Eisert (ORCID: https://orcid.org/0000-0001-8378-4805)
- Wieland Morgenstern (ORCID: https://orcid.org/0000-0001-5817-7464)
- Anna Hilsmann (ORCID: https://orcid.org/0000-0002-2086-0951)
- K.-H. Krause
Institutions
- Fraunhofer Institute for Telecommunications, Heinrich Hertz Institute (DE)
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