Math behind the color network.

[weihan1]

In the original NeuS paper, the input to the color network is direction encoding, feature, normal, sdf, and the positions stacked together (see below).

However, in the code, the input to the color network is only the direction encoding, feature, and normal, without the sdf or the positions. Why is that?

rgb = self.texture(feature, t_dirs, normal)