From 8cdec3e1d23d3be029f0b11553796e2a0b1c01d8 Mon Sep 17 00:00:00 2001 From: Shiva Gantha Date: Tue, 20 Jun 2023 19:39:11 -0700 Subject: [PATCH] Update nerfacto.md (#2107) --- docs/nerfology/methods/nerfacto.md | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/docs/nerfology/methods/nerfacto.md b/docs/nerfology/methods/nerfacto.md index c1137884a..63684848f 100644 --- a/docs/nerfology/methods/nerfacto.md +++ b/docs/nerfology/methods/nerfacto.md @@ -55,7 +55,7 @@ It is not uncommon to have errors in the predicted camera poses. This is even mo ### Piecewise Sampler -We use a Piecewise sampler to produce the initial set of samples of the scene. This sampler allocates half of the samples uniformly up to a distance of 1 from the camera. The remaining samples are distributed such that the step size increases with each sample. The step size is chosen such that the [frustums](../model_components/visualize_samples.ipynb) are scaled versions of themselves. By increasing the step sizes, we are able to sample distant objects will still having a dense set of samples for nearby objects. +We use a Piecewise sampler to produce the initial set of samples of the scene. This sampler allocates half of the samples uniformly up to a distance of 1 from the camera. The remaining samples are distributed such that the step size increases with each sample. The step size is chosen such that the [frustums](../model_components/visualize_samples.ipynb) are scaled versions of themselves. By increasing the step sizes, we are able to sample distant objects while still having a dense set of samples for nearby objects. ### Proposal Sampler