Hi,
I am trying to train your model on point cloud, so that i can generate a clean mesh from my rough sparse point cloud. since your model can provide a dense point cloud given a sparse point cloud, and then using Ball Pivoting Algorithm, it should produce a nice clean mesh.
But for data generation we need to compute the distance field, either using igl or pymesh, but for doing so we need a defined mesh, both igl and pymesh ask for faces to be present in the input, which i don't have. how do i solve this problem ?
Hi,
I am trying to train your model on point cloud, so that i can generate a clean mesh from my rough sparse point cloud. since your model can provide a dense point cloud given a sparse point cloud, and then using Ball Pivoting Algorithm, it should produce a nice clean mesh.
But for data generation we need to compute the distance field, either using
iglorpymesh, but for doing so we need a defined mesh, bothiglandpymeshask for faces to be present in the input, which i don't have. how do i solve this problem ?