I had a question regarding how do you calculate the CP decomposition? Is the way you calculate it in your code similar to the SVD method provided in numpy or torch?
Another question is does the geometry grid or density get calculated without any optimization? In the code it doesn’t seem to be passing ong through an MLP and I was wondering how is the density learned by this model?
They do not decompose a 3D tensor into three 1D vectors, what they do is factorize a 3D tensor with three 3d vectors.
So it's more of factorization rather than decomposition.
Hello,
I had a question regarding how do you calculate the CP decomposition? Is the way you calculate it in your code similar to the SVD method provided in numpy or torch?
Another question is does the geometry grid or density get calculated without any optimization? In the code it doesn’t seem to be passing ong through an MLP and I was wondering how is the density learned by this model?
thanks for the amazing work!