Help implementing 3D SDF/UDF fitting

[nvlabs]

Help implementing 3D SDF/UDF fitting

[Tom94]

Hi, absolutely! In our instant-ngp project, we've implemented a number of neural graphics primitives using this framework, one of which is indeed an SDF. You can run it and pass it a .obj-formatted mesh and it'll fit a corresponding SDF within a second or so + give you a live rendering preview.

Over in that project, see testbed_sdf.cu for the SDF-specific source code.

[lykius]

Hi @Tom94, thanks a lot for your answer!

I know instant-ngp, it's super awesome!! I was trying to use tiny-cuda-nn since I'm currently interested in a more general MLP formulation, without hash encoding. Maybe I can start from the SDF fitting in instant-ngp and remove the hash encoding. What do you think?

[Tom94]

instant-ngp's SDF code uses tiny-cuda-nn's NetworkWithInputEncoding, which can use any encoding that you'd like. All you need to do is change out the encoding in the .json configuration that you pass to the program via the --network argument. It loads <task>/base.json by default, where <task> is sdf in this case.

[lykius]

Ok I'll try that!
Thanks a lot, I really appreciate your help!

[Tom94]

Gladly!