Closed mohammadasim98 closed 4 months ago
An exponential function would allow the Gaussians to become arbitrarily large. Since our Gaussians are meant to represent a single pixel (or the region around it), we limit their sizes using the code you highlighted. You could try an exponential activation instead, but there's a chance that doing so would create really big Gaussians that make training unstable.
Hi,
Great work! I was confused about this particular section gaussian_adapter.py.
The activation function used for scaling is different in your code.
scale_min = self.cfg.gaussian_scale_min
scale_max = self.cfg.gaussian_scale_max
scales = scale_min + (scale_max - scale_min) * scales.sigmoid()
Whereas in the original formulation of Gaussian Splatting, the authors use the exponential function as the activation function.
Can you shed some light onto why you chose this specific function for the scale property of Gaussian. Thank you.