Skip to content
New issue

Have a question about this project? Sign up for a free GitHub account to open an issue and contact its maintainers and the community.

By clicking “Sign up for GitHub”, you agree to our terms of service and privacy statement. We’ll occasionally send you account related emails.

Already on GitHub? Sign in to your account

Inference results on my own dataset #35

Open
ranhaogong opened this issue Nov 13, 2024 · 1 comment
Open

Inference results on my own dataset #35

ranhaogong opened this issue Nov 13, 2024 · 1 comment

Comments

@ranhaogong
Copy link

I have trained a new model on my own dataset with normlization applied.
Then I checked the inference result, but found bed results.

the input partial point cloud is as followed:
image

the complete point cloud is as followed:
image

the predicted result (with out merging with input partial):
image

the merged result:
image

I wonder why and looking forward to your suggestion!

@CuiRuikai
Copy link
Owner

Our method is designed for object. Adopting to scene level completion does lead to a lot of problems. This is aligned with my expectation. The way we create patch needs knn and it is likely the reason. See a recent paper [1] from ECCV 2024 shows similar problem of our method in Fig 3. Our method is not good at producing large planes. It is prone to create spherical clusters.
let me know if you have further concerns
[1] https://arxiv.org/pdf/2409.15939

Sign up for free to join this conversation on GitHub. Already have an account? Sign in to comment
Labels
None yet
Projects
None yet
Development

No branches or pull requests

2 participants