nerfstudio-project/nerfacc

Health v2 · maintenance only

Flags: no_license

Adoption not part of the score

1456 stars · 120 forks observed · 2026-08-28

What it is AI-extracted, prompt v1, taxonomy v1, 2026-08-30, confidence not recorded

NerfAcc is a PyTorch acceleration toolbox for Neural Radiance Fields (NeRF), focused on efficient sampling in the volumetric rendering pipeline. It is plug-and-play with most NeRF codebases, providing significant training and inference speedups with minimal code changes.

Use cases

• accelerate NeRF training in PyTorch
• speed up volumetric rendering of radiance fields
• add efficient ray sampling to an existing NeRF implementation
• train Instant-NGP-style models faster
• optimize NeRF inference performance
• plug-and-play acceleration for NeRF research codebases

When to choose

• you are training or deploying NeRF/radiance field models in PyTorch and need faster sampling
• you want drop-in speedups for existing NeRF codebases with minimal modifications
• you need a pure Python API with flexible volumetric rendering primitives

When to avoid

• your project does not use PyTorch or CUDA-capable GPUs
• you are working on general 3D rendering unrelated to radiance fields
• you need actively developed features - the project appears to be in maintenance mode

Facets

library · maturity maintenance

machine-learning graphics simulation gpu-computing computer-vision graphics machine-learning deep-learning python windows nerf radiance-fields volumetric-rendering pytorch cuda instant-ngp 3d-reconstruction neural-rendering linux gpu

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