Comments (1)
Hi, that's a great question!
In principle, yes, but you need to modify the CUDA kernels for both the original instant NGP and torch-ngp.
The functorch library I used can automatically handle some parallel operations, and I believe the most common operations in pytorch can be paralleled easily with functorch. For some batched backward functions, you need to follow the instructions of functorch to implement.
Some other interesting related projects:
https://github.com/PJLab-ADG/neuralsim#hammer_and_wrench-multi-object-volume-rendering
https://github.com/XiaoHan-Git/RO-MAP
from vmap.
Related Issues (20)
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- vis script
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