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Hi guys, I noticed there's a new denoising feature available.
Previously, I used statistical outlier removal from Open3D on the extracted ply file, which wasn't much effective, struggled with dense floaters generated in 3DGS. These floaters are usually very dense, which I believe makes it difficult for general algorithms to remove them effectively.
I was wondering if there might be a better approach to tackle these floaters. If they can be successfully removed, converting the point cloud file back to a 3DGS file should also eliminate the floaters there. Below are some examples where I'm encountering this issue.
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The text was updated successfully, but these errors were encountered:
soumya997
changed the title
statistical outlier removal is not enough
statistical outlier removal isv't enough
Jan 9, 2025
soumya997
changed the title
statistical outlier removal isv't enough
statistical outlier removal isn't enough
Jan 9, 2025
Hi guys, I noticed there's a new denoising feature available.
Previously, I used statistical outlier removal from Open3D on the extracted ply file, which wasn't much effective, struggled with dense floaters generated in 3DGS. These floaters are usually very dense, which I believe makes it difficult for general algorithms to remove them effectively.
I was wondering if there might be a better approach to tackle these floaters. If they can be successfully removed, converting the point cloud file back to a 3DGS file should also eliminate the floaters there. Below are some examples where I'm encountering this issue.
The text was updated successfully, but these errors were encountered: