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We don't use Instant-NGP, but we do use a somewhat similar acceleration strategy borrowed from MipNeRF360 and NeRFStudio, where we keep a separate density-only copy of the k-planes model (at lower resolution), and use it to "propose" good places to sample along each ray.
For comparison, the Instant-NGP strategy also involves a density-only copy of the model, but it's used to rejection-sample rather than proposal sample along each ray--this strategy is also implemented in the NeRFAcc library. Either acceleration method can be applied to k-planes with similar results/speedup, but this repo uses the proposal sampling strategy.
Thanks for your greatful work !!
Did you use methods like 'instant-ngp' or something else to speed up training and rendering?
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