You signed in with another tab or window. Reload to refresh your session.You signed out in another tab or window. Reload to refresh your session.You switched accounts on another tab or window. Reload to refresh your session.Dismiss alert
{{ message }}
This repository has been archived by the owner on Sep 2, 2024. It is now read-only.
I was wondering if you are normalising your gbuffers in any way.
I'm running into an issue where for example my position gbuffer has a mean of 11.2 and sd of 30.7, which I think might be messing up my result.
I thought of just normalising each gbuffer individually, but since this is absolute data one position value could mean a completely different position than in another normalised position gbuffer.
Would the solution be getting the standard deviation and mean of my whole dataset, and normalising the group, or am I seeing problems where they aren't actually there?
Thank you :)
The text was updated successfully, but these errors were encountered:
Currently I am just individually normalising all the gbuffers, independently from eachother. This seems to improve the training of the model greatly. However, I will mark this as closed once I also tested the group normalisation to see what the difference is.
Sign up for freeto subscribe to this conversation on GitHub.
Already have an account?
Sign in.
Hello, thank you for this fantastic work!
I was wondering if you are normalising your gbuffers in any way.
I'm running into an issue where for example my position gbuffer has a mean of 11.2 and sd of 30.7, which I think might be messing up my result.
I thought of just normalising each gbuffer individually, but since this is absolute data one position value could mean a completely different position than in another normalised position gbuffer.
Would the solution be getting the standard deviation and mean of my whole dataset, and normalising the group, or am I seeing problems where they aren't actually there?
Thank you :)
The text was updated successfully, but these errors were encountered: