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Neural Radiance Fields (NeRF) are a rapidly growing area of research withwide-ranging applications in computer vision, graphics, robotics, and more. Inorder to streamline the development and deployment of NeRF research, we proposea modular PyTorch framework, Nerfstudio. Our framework includes plug-and-playcomponents for implementing NeRF-based methods, which make it easy forresearchers and practitioners to incorporate NeRF into their projects.Additionally, the modular design enables support for extensive real-timevisualization tools, streamlined pipelines for importing captured in-the-wilddata, and tools for exporting to video, point cloud and mesh representations.The modularity of Nerfstudio enables the development of Nerfacto, our methodthat combines components from recent papers to achieve a balance between speedand quality, while also remaining flexible to future modifications. To promotecommunity-driven development, all associated code and data are made publiclyavailable with open-source licensing at https://nerf.studio.

Nerfstudio: A Modular Framework for Neural Radiance Field Development