Hi, I noticed you apply a normalization with on noisy rendered images with a constant (1 + sigma^2). (https://github.com/pals-ttic/sjc/blob/main/adapt_sd.py#L133).
I am confused with the intuition to scale the noisy data with such constant. Is this scaling to keep the deviation of input at 1 ?