I cannot reproduce the benchmark using your code and pretrained model.
| dataset |
method |
Abs_rel |
Abs_diff |
Sq_rel |
rms |
Log_rms |
a1 |
a2 |
a3 |
| mvs |
Dpsnet-paper |
0.0722 |
0.2095 |
0.0798 |
0.4928 |
0.1527 |
0.8930 |
0.9502 |
0.9760 |
| mvs |
Dpsnet-code |
0.0809 |
0.1901 |
0.0660 |
0.3996 |
0.1531 |
0.8952 |
0.9580 |
0.9851 |
| sun3d |
Dpsnet-paper |
0.1470 |
0.3234 |
0.1071 |
0.4269 |
0.1906 |
0.7892 |
0.9317 |
0.9672 |
| sun3d |
Dpsnet-code |
0.1576 |
0.3404 |
0.1268 |
0.4538 |
0.1998 |
0.7917 |
0.9341 |
0.9790 |
This table is what I got by running test.py on sun3d and mvs. Can you help me about this?
Thanks sincerely for your extraordinary work and code.
I cannot reproduce the benchmark using your code and pretrained model.
This table is what I got by running test.py on sun3d and mvs. Can you help me about this?
Thanks sincerely for your extraordinary work and code.