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Update README.md
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liruilong940607 authored Oct 9, 2022
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Expand Up @@ -9,11 +9,11 @@ efficient volumetric rendering of radiance fields, which is universal and plug-a

Using NerfAcc,

- The `vanilla NeRF` model with 8-layer MLPs can be trained to *better quality* (+~0.5 PNSR) \
- The `vanilla NeRF` model with 8-layer MLPs can be trained to *better quality* (+~0.5 PNSR)
in *1 hour* rather than *1~2 days* as in the paper.
- The `Instant-NGP NeRF` model can be trained to *better quality* (+~0.7 PSNR) with *9/10th* of \
- The `Instant-NGP NeRF` model can be trained to *better quality* (+~0.7 PSNR) with *9/10th* of
the training time (4.5 minutes) comparing to the official pure-CUDA implementation.
- The `D-NeRF` model for *dynamic* objects can also be trained in *1 hour* \
- The `D-NeRF` model for *dynamic* objects can also be trained in *1 hour*
rather than *2 days* as in the paper, and with *better quality* (+~0.5 PSNR).
- Both *bounded* and *unbounded* scenes are supported.

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