Comments (3)
luost26
commented on June 23, 2024
Hi,
The noisy points are corrected as highlighted in the red box:
Other noisy points not denoised by the model are considered outliers (far from the surface and isolated). Our model is not designed to remove outliers. Removing outlying points is easy using statistical methods and Meshlab includes such tools.
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Siziff
commented on June 23, 2024
Thank you :) and one more question-
Is it important to have the same number of points in each instance of the training sample? or is it possible with a different number of points? For example, is it possible to take instances with 30,000 +- 300 points in the training sample?
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luost26
commented on June 23, 2024
Different numbers of points are possible.
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Related Issues (20)
- When to publish your code? HOT 4
- dataset HOT 4
- Supervised loss function HOT 4
- train results HOT 13
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- how to make the visual figures which noisy points have yellow color and clean points have blue color? HOT 2
- Is it possible to get the score separately? HOT 5
- AttributeError: module 'distutils' has no attribute 'version' HOT 2
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