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OpenDAS
nerfacc
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b44a4218
Unverified
Commit
b44a4218
authored
Apr 04, 2023
by
Ruilong Li(李瑞龙)
Committed by
GitHub
Apr 04, 2023
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Update CHANGELOG.md
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CHANGELOG.md
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@@ -45,7 +45,7 @@ Examples & Benchmarks:
...
@@ -45,7 +45,7 @@ Examples & Benchmarks:
## [0.3.5] - 2023-02-23
## [0.3.5] - 2023-02-23
A stable version that achieves:
A stable version that achieves:
-
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 vanilla Nerf model with 8-layer MLPs can be trained to better quality (+0.5 PNSR) in 1 hour rather than days as in the paper.
-
The Instant-NGP Nerf model can be trained to equal quality in 4.5 minutes, comparing to the official pure-CUDA implementation.
-
The Instant-NGP Nerf model can be trained to equal quality in 4.5 minutes, comparing to the official pure-CUDA implementation.
-
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 (+~2.5 PSNR).
-
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 (+~2.5 PSNR).
-
Both bounded and unbounded scenes are supported.
-
Both bounded and unbounded scenes are supported.
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