Neural radiance fields in 3D vision: A comprehensive review
University of Waterloo · University of Toronto · +1 more institution
Abstract
In March 2020, Neural Radiance Field (NeRF) revolutionized Computer Vision, allowing for implicit, neural network-based scene representation and novel view synthesis. NeRF models have found diverse applications in robotics, urban mapping, autonomous navigation, virtual reality/augmented reality, and more. In August 2023, Gaussian Splatting, a direct competitor to the NeRF-based framework, was proposed, gaining tremendous momentum and overtaking NeRF-based research in terms of interest as the dominant framework for novel view synthesis. We present a comprehensive survey of NeRF papers from the past five years (2020-2025). These include papers from the pre-Gaussian Splatting era, where NeRF dominated the field…
Citation impact
- FWCI
- 0.00
- Percentile
- 100%
- References
- 0
Authors
6Topics & keywords
- Computer science
- Popularity
- Field (mathematics)
- Robotics
- Artificial intelligence
- Radiance
- Rendering (computer graphics)
- Virtual reality
- Sustainable cities and communities