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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!
The text was updated successfully, but these errors were encountered:
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
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!
The text was updated successfully, but these errors were encountered: