Comments (3)
Hi there,
instant-ngp and tiny-cuda-nn functionality is split the way it is for semantic reasons and we don't plan to work around these to sidestep potential license issues.
Given the relative simplicity of the NeRF neural network architecture (ours is only marginally different from the original NeRF paper), I recommend stitching it together manually from tiny-cuda-nn primitives if the instant-ngp license is incompatible with your use case.
Cheers!
from tiny-cuda-nn.
I see. Thanks for your kindly response.
from tiny-cuda-nn.
Hi @MarvinChung, I am trying to implement nerf-like architecture using tcnn API. Can you share your experience in building the network? Especially for the viewdirs concatenation part similar to here https://github.com/yenchenlin/nerf-pytorch/blob/63a5a630c9abd62b0f21c08703d0ac2ea7d4b9dd/run_nerf_helpers.py#L108?
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