sitzikbs/deepfit

Code for the paper "DeepFit: 3D Surface Fitting via Neural Network Weighted Least Squares"

deepfit's Issues

where is the DeepFit.SimpPointNet?

Hi, thanks for your great work!
I am a newbie in point cloud. I read your source code, I see DeepFit.SimpPointNet in the line 87 of test_c_est.py. I didn’t find it in the file Deepfit.py, Did I miss something?

conversion to surface mesh

Is there a lossless way to go from normals or other model outputs, for example here

DeepFit/tutorial/compute_normals.py

Line 66 in f19b83c

n_est, beta, weights, trans, trans2, neighbors_n_est = model.forward(points)

to a triangulated mesh?

Typo in Readme

"...with extended explenations, interactive visualizations and example files..."

How can I estimate the z value of given (x,y) in fitted surface?

Hi, thanks for sharing this great code.
Thanks to tutorial, I followed easily.
Then from fitted surface, did I estimate the z value of given (x,y) in fitted surface?
As you said, I would like putting (x,y) in n-jet.
But I can't go forward from this. How can I reach the goal?
Thanks

Best regard
Karl

would you release the results or trained model of orientation normal estimation?

thank you very much for your attention.Can you provide a trained model or result about this?

Tutorial not producing images?

Thank you for the great work!

I've ran the code for the tutorial and it doesn't seem to be producing any images - it only displays the values of the VBox. Is it supposed to produce any visuals when the notebook is ran?

function of utils.map_curvatures

hello ,could you tell me the function of utils.map_curvatures in the file of evaluate curvatures? I could't find it.