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As i know we first predict voxel in some pre-define size like 48*48*48 and then with the help of cubify to get the mesh without refinement.
But when we cal the loss like chamfer or normal loss, we need the prediction, gt pair in the same scale otherwise the two losses depend on coordinates are meaningless.
I know change the value of focal length and t_c(center in z axis) will change the cords, but i not find them in training process.
Can u tell how what's wrong?
The text was updated successfully, but these errors were encountered:
As i know we first predict voxel in some pre-define size like
48*48*48
and then with the help ofcubify
to get the mesh without refinement.But when we cal the loss like chamfer or normal loss, we need the
prediction, gt
pair in the same scale otherwise the two losses depend on coordinates are meaningless.I know change the value of
focal length
andt_c(center in z axis)
will change the cords, but i not find them in training process.Can u tell how what's wrong?
The text was updated successfully, but these errors were encountered: