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nv-tlabs / NKSR

[CVPR 2023 Highlight] Neural Kernel Surface Reconstruction
https://research.nvidia.com/labs/toronto-ai/NKSR
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Will _C.so be open source? #16

Open qpc001 opened 1 year ago

fwilliams commented 1 year ago

Yes, it will (as part of something very exciting even beyond NKSR) but I can't give more details at the moment. Don't expect this until at least early next year though!

Are there parts that you're particularly interested in?

qpc001 commented 1 year ago

Yes, it will (as part of something very exciting even beyond NKSR) but I can't give more details at the moment. Don't expect this until at least early next year though!

Are there parts that you're particularly interested in?

Thanks. That's enough.

Saixiaoma commented 5 months ago

@fwilliams Hi，When will _C.so be open source?

Kin-Zhang commented 4 months ago

@fwilliams also wait....

Think this two issues should be linked together: https://github.com/nv-tlabs/NKSR/issues/28

ErenBalatkan commented 2 months ago

Yes, it will (as part of something very exciting even beyond NKSR) but I can't give more details at the moment. Don't expect this until at least early next year though!

Are there parts that you're particularly interested in?

Greetings, is there any update on this? Is the release delayed or cancelled?

fwilliams commented 2 months ago

Hi, @Saixiaoma @Kin-Zhang @ErenBalatkan thanks a lot of following up on this.

We're releasing the DL framework for sparse 3D data that was used to implement _C.so at SIGGRAPH. Stay tuned! In the meantime, feel free to email me with specific questions. I can help offline.

hungdche commented 1 week ago

Hi @fwilliams is there a follow up to this? I'm particularly interested in CudaIndexGrid and its interface, and whether if I can build an oriented grid instead of axis-aligned. Thanks!

Edit: I guess it is just released on ArXiv (𝑓 VDB: A Deep-Learning Framework for Sparse, Large-Scale, and High-Performance Spatial Intelligence).