I understand the Radial Basis kernel they are using is the following:
U = r^2 * log( r )
However, seems to me that the function used is this one:
U = r^2 * log( r^2 ), because after summing both pondered delta matrix, they don't apply root squared to the outcome.
Is there a reason to do it this way? I'm just trying to understand. I appreciate any insight.
https://github.com/minar09/cp-vton-plus/blob/ff44e465853afecfa53ba2b62b41f332e5476fe4/networks.py#L291
Hi!
I understand the Radial Basis kernel they are using is the following: U = r^2 * log( r )
However, seems to me that the function used is this one: U = r^2 * log( r^2 ), because after summing both pondered delta matrix, they don't apply root squared to the outcome.
Is there a reason to do it this way? I'm just trying to understand. I appreciate any insight.