Pytorch3d: Screened Poisson surface reconstruction
🚀 Feature
It would be nice if the screened Poisson surface reconstruction algorithm could be implemented
Motivation
Screen Poisson is a surface reconstruction algorithm that has been adopted by a lot of papers to reconstruct meshes from point clouds. Having this feature in pytorch3d would help researchers who focus on reconstructing meshes.
Thanks!
reference: K AZHDAN , M., AND HOPPE , H. Screened poisson surface reconstruction. ACM Trans. Graph. 32 (2013), 29:1–29:13. pages 8, 9
Pitch
NOTE: we only consider adding new features if they are useful for many users.
wzic
All 2 comments
Hi @wzic
Thanks for bringing this up! It does indeed sound interesting! This op is currently not in our immediate roadmap. However, if more users request it we will include it. Note that we do focus on differentiability in lots of our ops, so if you have a function in mind that also admits gradients that's even better! Also, if you end up implementing this and wish to include it to PyTorch3D we are more than happy to review your PR!
gkioxari
on 22 Aug 2020
@gkioxari this is surely needed . A differentiable mesh generation method would really help.
ucalyptus
on 14 Sep 2020
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Most helpful comment
Hi @wzic
Thanks for bringing this up! It does indeed sound interesting! This op is currently not in our immediate roadmap. However, if more users request it we will include it. Note that we do focus on differentiability in lots of our ops, so if you have a function in mind that also admits gradients that's even better! Also, if you end up implementing this and wish to include it to PyTorch3D we are more than happy to review your PR!