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First of all, brilliant research work and a brilliantly documented codebase. I was able to get it up and running very easily.
I tested the code on various datasets and various scenes (even some of my own recorded videos) and it works perfectly. However, I was more interested in generating a mesh for single objects (with the background removed). I tried it on the "kitten" data (Link) from the Shelly dataset and it worked perfectly, as seen in the following figures:
However, when I tried it on one of my own objects with the background removed (a water bottle, Link, there are some noise (random black smokelike objects) around the bottle, as seen in the following figures:
Can you suggest how I can try solving this issue? Like what parameters can I try changing to remove the background noise? I am assuming since the code worked for the "kitten" object, it should work for other objects as well.
I look forward to hearing back from you. And again, thank you for the great work!
First of all, brilliant research work and a brilliantly documented codebase. I was able to get it up and running very easily.
I tested the code on various datasets and various scenes (even some of my own recorded videos) and it works perfectly. However, I was more interested in generating a mesh for single objects (with the background removed). I tried it on the "kitten" data (Link) from the Shelly dataset and it worked perfectly, as seen in the following figures:
However, when I tried it on one of my own objects with the background removed (a water bottle, Link, there are some noise (random black smokelike objects) around the bottle, as seen in the following figures:
Can you suggest how I can try solving this issue? Like what parameters can I try changing to remove the background noise? I am assuming since the code worked for the "kitten" object, it should work for other objects as well.
I look forward to hearing back from you. And again, thank you for the great work!
P.S.:
I ran the following commands:
For "kitten"
python gaussian_splatting/convert.py -s kitten
python gaussian_splatting/train.py -s kitten --iterations 7000 -m kitten_GS_out -r 1
python train.py -s kitten -c kitten_GS_out/ -r "density" --refinement_time "long" --high_poly True
For "bottle"
python gaussian_splatting/convert.py -s bottle
python gaussian_splatting/train.py -s bottle --iterations 7000 -m bottle_GS_out -r 1
python train.py -s bottle -c bottle_GS_out/ -r "density" --refinement_time "long" --high_poly True
For both cases, I tried with both
vertices_density_quantile = 0.1
andvertices_density_quantile = 0.
and got the same results.The text was updated successfully, but these errors were encountered: