Nerfstudio: A Modular Framework for Neural Radiance Field Development
University of California, Berkeley
Abstract
Neural Radiance Fields (NeRF) are a rapidly growing area of research with wide-ranging applications in computer vision, graphics, robotics, and more. In order to streamline the development and deployment of NeRF research, we propose a modular PyTorch framework, Nerfstudio. Our framework includes plug-and-play components for implementing NeRF-based methods, which make it easy for researchers and practitioners to incorporate NeRF into their projects. Additionally, the modular design enables support for extensive real-time visualization tools, streamlined pipelines for importing captured in-the-wild data, and tools for exporting to video, point cloud and mesh representations. The modularity of Nerfstudio enables…
Citation impact
- FWCI
- 59.04
- Percentile
- 100%
- References
- 27
Authors
13Topics & keywords
- Modular design
- Computer science
- Modularity (biology)
- Software deployment
- Field (mathematics)
- Visualization
- Point cloud
- Radiance
- Industry, innovation and infrastructure