lucidrains/point-transformer-pytorch

Invariant to cardinality?

decadenza opened this issue · 0 comments

Dear Authors,
In your paper you wrote:
"The layer is invariant to permutation and cardinality and is thus inherently suited to point cloud processing."

I do not understand this statement, because your PointTransformerLayer
https://github.com/lucidrains/point-transformer-pytorch/blob/main/point_transformer_pytorch/point_transformer_pytorch.py#L31
requires the dim parameter in initialization. So it always expects dim elements in input.
What if a point cloud has dim+1 points?

Thank you in advance.