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@@ -58,6 +58,7 @@ using inverse transform sampling, evaluate our "fine" network at the union of th
> >
> 1. This paper reminds me of Gaussian Splatting. In this paper setting, we can treat the scene as a function of 5D coordinates. (all the cameras are focusing on the world origin) However, in general settings, we have 6D coordinates (3D position and 3D direction). Is there any way to use Gaussian Splatting to reconstruct the scene? > 1. This paper reminds me of Gaussian Splatting. In this paper setting, we can treat the scene as a function of 5D coordinates. (all the cameras are focusing on the world origin) However, in general settings, we have 6D coordinates (3D position and 3D direction). Is there any way to use Gaussian Splatting to reconstruct the scene?
> 2. In the positional encoding, the function $\gamma(p)$ reminds me of the Fourier transform. Is there any connection between the two? > 2. In the positional encoding, the function $\gamma(p)$ reminds me of the Fourier transform. Is there any connection between the two?
### Volume Rendering ### Volume Rendering
Output of color and density. Output of color and density.