English

NerfAcc: A General NeRF Acceleration Toolbox

Computer Vision and Pattern Recognition 2023-05-11 v3 Graphics

Abstract

We propose NerfAcc, a toolbox for efficient volumetric rendering of radiance fields. We build on the techniques proposed in Instant-NGP, and extend these techniques to not only support bounded static scenes, but also for dynamic scenes and unbounded scenes. NerfAcc comes with a user-friendly Python API, and is ready for plug-and-play acceleration of most NeRFs. Various examples are provided to show how to use this toolbox. Code can be found here: https://github.com/KAIR-BAIR/nerfacc. Note this write-up matches with NerfAcc v0.3.5. For the latest features in NerfAcc, please check out our more recent write-up at arXiv:2305.04966

Keywords

Cite

@article{arxiv.2210.04847,
  title  = {NerfAcc: A General NeRF Acceleration Toolbox},
  author = {Ruilong Li and Matthew Tancik and Angjoo Kanazawa},
  journal= {arXiv preprint arXiv:2210.04847},
  year   = {2023}
}

Comments

Webpage: https://www.nerfacc.com/; Updated Write-up: arXiv:2305.04966

R2 v1 2026-06-28T03:10:16.414Z