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Setting near_far when working with ScanNet scenes #46
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It looks like something is wrong with the camera poses, please note that the coordinate system in tensorf is different from the iNGP, I would suggest you double-check the extrinsic poses. |
Thank you for the prompt response! |
Hi, @yashbhalgat, have you solved this problem? I try to test TensoRF on ScanNet too, but the result looks not so good. I think there are some problems with my coordinate system, bounding box parameter or near_far parameter. And how do you get the bounding box parameter on ScanNet Dataset? Thank you! |
Hi, yes, I was able to get it working. You can have a look at this repo which uses TensoRF representation with ScanNet. Hope this helps. |
@yashbhalgat Can you share what was the key element to make it work? |
Is there any solution? I have the same problem and got a set of blur test results. |
Hello, I have met the same problem and have no idea about the solution. Could you please explain the settings more clearly? Thanks a lot! |
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It seems the problem can be solved by reducing learning rate |
Hi @apchenstu, I am trying to train TensoRF with a ScanNet scene. I calculate the scene bounding box using the scene mesh provided in the dataset. For example, for

scene0000_00
in ScanNet, the bounding box can be computed to be[[-1.0176, -1.0018, -1.0003],[11.3742, 9.7380, 4.0293]]
. Although, the TensoRF performance on the test set is quite bad. The visualizations look something like this:You can see that it can render the chair legs (see bottom left), but overall rendering is quite bad. I tried different
far
values (e.g. 5.0, 10.0, 100.0) but none of them seem to work with TensoRF.But when I trained a NeRF model with Instant-NGP, far value of 10.0 had worked. So, I am not sure what I am missing here. Can you please advise?
Interestingly, training PSNR reaches a high value of 25, but test PSNR is very low around 9 or 10.
Thanks,
Yash
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