Nerfstudio

Nerfstudio is a comprehensive, modular framework for neural radiance field research and development, created at UC Berkeley. It provides a unified platform for training, evaluating, and deploying multiple neural rendering methods — including NeRF variants (nerfacto, instant-ngp integration), Gaussian Splatting methods (splatfacto via gsplat), and experimental approaches — through a consistent API and data pipeline.

The framework's standout feature is its interactive web-based viewer (powered by viser), which provides real-time visualization of training progress, camera path creation, and scene exploration. Its modular architecture allows researchers to swap components — data parsers, field representations, renderers, and loss functions — independently, enabling rapid prototyping of new methods without reimplementing infrastructure. Nerfstudio supports diverse input formats including COLMAP, Polycam, Record3D, and Blender synthetic datasets.

Maintained by a dedicated team with regular releases and an active open-source community, Nerfstudio has become the de facto standard framework for academic neural rendering research. It provides comprehensive documentation, tutorials, and a growing ecosystem of compatible tools (gsplat for Gaussian rasterization, nerfacc for volumetric acceleration, viser for visualization). The framework is designed to lower the barrier to entry for neural rendering research while providing the flexibility needed for state-of-the-art work.