Why train incomplete 3D Gaussians first？

[Dumeowmeow]

What is the purpose of doing this？

[Johanan528]

Our goal is to construct an incomplete Gaussian. According to our experiments, some segmentation methods at that time could not segment Gaussian robustly, so we directly trained an incomplete Gaussian. Of course, this is not the core part of this project. Now, perhaps some Gaussian segmentation methods have better performance.

[Dumeowmeow]

Thank you for your reply.But after I read the train.py in gaussian-splatting, I found that if mask_training is True, the loss is computed between masked render image and masked gt-image,I can't understand why does this allow us to train incomplete Gaussians.And another question is, does an incomplete Gaussian mean a Gaussian with the inpaint part gaussians completely removed?