论文标题

nerfacc:一般的NERF加速工具箱

NerfAcc: A General NeRF Acceleration Toolbox

论文作者

Li, Ruilong, Tancik, Matthew, Kanazawa, Angjoo

论文摘要

我们提出了nerfacc,这是一种有效的辐射场渲染的工具箱。我们建立在Instant-NGP中提出的技术的基础上,并将这些技术扩展到不仅支持有限的静态场景,还可以支持动态场景和无限的场景。 NERFACC配备了用户友好的Python API,并准备好大多数NERF的插件加速度。提供了各种示例以显示如何使用此工具箱。代码可以在此处找到:https://github.com/kair-bair/nerfacc。请注意,此写入匹配与Nerfacc v0.3.5。有关NERFACC的最新功能,请查看我们最近在Arxiv:2305.04966的文章

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

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