Nerfstudio: A Modular Framework for Neural Radiance Field Development 论文

2023引用 518
Advanced Neural Network ApplicationsComputer Graphics and Visualization Techniques3D Shape Modeling and Analysis

详细信息

发表日期
2023-07-19
发表年份
2023

关键词

Advanced Neural Network ApplicationsComputer Graphics and Visualization Techniques3D Shape Modeling and Analysis

摘要

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 the development of Nerfacto, our method that combines components from recent papers to achieve a balance between speed and quality, while also remaining flexible to future modifications. To promote community-driven development, all associated code and data are made publicly available with open-source licensing.