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

翻译：我们提出NerfAcc，一个用于辐射场高效体素渲染的工具箱。本工作基于Instant-NGP中提出的技术，并将其扩展至不仅支持有界静态场景，同样适用于动态场景和无界场景。NerfAcc配备用户友好的Python API，可直接作为插件加速大多数NeRF模型。我们提供了多种示例以展示该工具箱的使用方法。代码地址：https://github.com/KAIR-BAIR/nerfacc。注意本文档对应NerfAcc v0.3.5版本，关于最新功能请参阅arXiv:2305.04966的更新文档。