How to output dense point cloud?

[cwwjyh]

Thanks for the great work!

How can I get dynamic point cloud?

in the above code, store the static point cloud on different training iterations. It is very sparse, as below.

So I want to know how to get dense point cloud when the dynamic Gaussian is played after training. This point cloud will store output/my_checkpoint_dir

Looking forward to your reply!

[guanjunwu]

Hi, do you mean to get each timestamps' 3D Gaussians after training?
export per frame 3DGS as written in readme.md may help you.
such as:
python export_perframe_3DGS.py --iteration 14000 --configs arguments/dnerf/bouncingballs.py --model_path output/dnerf/bouncingballs