Reproducing for Point Cloud to Mesh Reconstruction about im-net-pytorch HOT 2 CLOSED

Hi,

The current training loss does not support training from point clouds; it requires ground truth voxels or point-value pairs for training.

Training implicit field models from point clouds itself is an ongoing research area. I would recommend you to look at this work for ideas:
SAL: Sign Agnostic Learning of Shapes from Raw Data
https://arxiv.org/abs/1911.10414

However, if your point clouds are dense enough, you can always obtain their correct voxel models for training by:

1. Convert point clouds to voxel grids with appropriate resolution (say 64, the smaller the better for floodfill).
2. Run a floodfill algorithm to make sure the voxels inside a shape are '1's, and the voxels outside are '0's.
3. Use the point sampling script to sample the point-value pairs and voxels
4. Train the model

from im-net-pytorch.

I see. Thank you for your reply, it is very helpful!! :)

from im-net-pytorch.