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Hi! It's a great work,
I wonder why buckets, small cubes in space, are used to discrete the 3D Gaussians.
Instead, a more intuitive way is to represent the whole space as a learnable distribution.
Have you tried that, and what is the potential pros and cons?
The text was updated successfully, but these errors were encountered:
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Hi! It's a great work,
I wonder why buckets, small cubes in space, are used to discrete the 3D Gaussians.
Instead, a more intuitive way is to represent the whole space as a learnable distribution.
Have you tried that, and what is the potential pros and cons?
The text was updated successfully, but these errors were encountered: