BARF¶
In this example we showcase how to plug the nerfacc library into the official codebase of BARF. See our forked repo for details.
Benchmark: NeRF-Synthetic Dataset¶
updated on 2023-04-04 with nerfacc==0.5.0
Our experiments are conducted on a single NVIDIA GeForce RTX 2080 Ti.
PSNR |
Lego |
Mic |
Materials |
Chair |
Hotdog |
Ficus |
Drums |
Ship |
MEAN |
|---|---|---|---|---|---|---|---|---|---|
BARF |
31.16 |
23.87 |
26.28 |
34.48 |
28.4 |
27.86 |
31.07 |
27.55 |
28.83 |
training time |
9.5hrs |
9.5hrs |
9.2hrs |
9.3hrs |
12.3hrs |
9.3hrs |
9.3hrs |
9.5hrs |
9.8hrs |
camera errors (R) |
0.105 |
0.047 |
0.085 |
0.226 |
0.071 |
0.846 |
0.068 |
0.089 |
0.192 |
camera errors (T) |
0.0043 |
0.0021 |
0.0040 |
0.0120 |
0.0026 |
0.0272 |
0.0025 |
0.0044 |
0.0074 |
Ours (occ) |
32.25 |
24.77 |
27.73 |
35.84 |
29.98 |
28.83 |
32.84 |
28.62 |
30.11 |
training time |
1.5hrs |
2.0hrs |
2.0hrs |
2.3hrs |
2.2hrs |
1.9hrs |
2.2hrs |
2.3hrs |
2.0hrs |
camera errors (R) |
0.081 |
0.036 |
0.056 |
0.171 |
0.058 |
0.039 |
0.039 |
0.079 |
0.070 |
camera errors (T) |
0.0038 |
0.0019 |
0.0031 |
0.0106 |
0.0021 |
0.0013 |
0.0014 |
0.0041 |
0.0035 |