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important fix typo (#2800)

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fix typo

Co-authored-by: Jianbo Ye <jianboye@amazon.com>
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J.YandJianbo Ye authored and GitHub committed 2024-01-19 21:15:00 -08:00
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docs/nerfology/methods/splat.md
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@@ -33,7 +33,7 @@ To run splatfacto, run `ns-train splatfacto --data <data>`. Just like NeRF metho
#### Quality and Regularization
The default settings provided maintain a balance between speed, quality, and splat file size, but if you care more about quality than training speed or size, you can decrease the alpha cull threshold
(threshold to delete translucent gaussians) and disable culling after 15k steps like so: `ns-train splatfacto --pipeline.model.cull_scale_thresh=0.005 --pipeline.model.continue_cull_post_densification=False --data <data>`
(threshold to delete translucent gaussians) and disable culling after 15k steps like so: `ns-train splatfacto --pipeline.model.cull_alpha_thresh=0.005 --pipeline.model.continue_cull_post_densification=False --data <data>`
A common artifact in splatting is long, spikey gaussians. [PhysGaussian](https://xpandora.github.io/PhysGaussian/) proposes a scale regularizer that encourages gaussians to be more evenly shaped. To enable this, set the `use_scale_regularization` flag to `True`.