Can 3D objects with holes or imperfections be used for training the model?

[Javiergonb]

Hi @ZENGXH ,

I have been trying (and failing), to train this model using a dataset of 3D objects that have holes or imperfections, such as museum objects of ancient pottery. The results are not very impressive and I am starting to suspect it might have something to do with that.
So i have the following questions:

1.- Will using 3D objects with holes or imperfections negatively impact the training process?

2.- Are there any recommended preprocessing techniques to handle these imperfections before using the objects for training?

I appreciate any guidance or insights you can provide on this matter.
Thanks!

[ZENGXH]

1. yes they will have negative impact. The generated shape will also have holes and the imperfections.
2. some data cleaning may help, for example, run a surface reconstruction method first to remove those hole and imperfections, then sample points on the reconstructed surface.