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Sure. You are looking for a Surface Reconstruction algorithm (which is outside the scope of this repo).
Several methods I recommend looking into:
Poisson surface reconstruction (and screen poison surface reconstruction).
DeepSDF, Occupancy networks, Neural splines, SAL, SALD, IGR.
I personally like SIREN, and their implementation.
I have a current paper on the topic but it is not published yet so the code will be available only after publication.
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
to a triangulated mesh?
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