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View Code? Open in Web Editor NEWCode for the paper "DeepFit: 3D Surface Fitting via Neural Network Weighted Least Squares"
License: Other
Code for the paper "DeepFit: 3D Surface Fitting via Neural Network Weighted Least Squares"
License: Other
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?
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?
hello ,could you tell me the function of utils.map_curvatures in the file of evaluate curvatures? I could't find it.
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
"...with extended explenations, interactive visualizations and example files..."
thank you very much for your attention.Can you provide a trained model or result about this?
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
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