The performance of the model

[zhaohaoyu376]

I followed the example code to train hypernerf scenes such as virg/broom, but the training results are not as expected. Why is that?

[zhaohaoyu376]

The model doesn't converge.

[zhaohaoyu376]

I have tried multiple environments, including py37+torch1.31+cu11.6 and py38+torch2.01+cu11.8. However, the final results are all not satisfactory.

[guanjunwu]

I have tried multiple environments, including py37+torch1.31+cu11.6 and py38+torch2.01+cu11.8. However, the final results are all not satisfactory.

It looks very strange.
Can you show me the point clouds generated by colmap? It may look like:

which is previewed by visual studio code.

[zhaohaoyu376]

I have tried multiple environments, including py37+torch1.31+cu11.6 and py38+torch2.01+cu11.8. However, the final results are all not satisfactory.

It looks very strange. Can you show me the point clouds generated by colmap? It may look like:

which is previewed by visual studio code.

This is the point clouds generated by colmap.

This is the point clouds generated by the model.

[guanjunwu]

It seems that the original 3D Gaussians do not fit well.
In my test, after 3000 coarse iterations, the training PSNR will be up to 20. Have you tested in any other scenes?