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NerfAcc: A General NeRF Acceleration Toolbox

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arxiv 2210.04847 v3 pith:PHNFVMUB submitted 2022-10-10 cs.CV cs.GR

Ruilong Li , Matthew Tancik , Angjoo Kanazawa This is my paper
classification cs.CVcs.GR
keywords nerfaccscenestoolboxaccelerationtechniqueswrite-uparxivbounded
verification ladder T0 review T1 audit T2 compute T3 formal
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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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Cited by 3 Pith papers

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  3. Construction of Digital Terrain Maps from Multi-view Satellite Imagery using Neural Volume Rendering

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