denoiser_weighting.py

import torch


class UnitWeighting:

    def __call__(self, sigma):
        return torch.ones_like(sigma, device=sigma.device)


class EDMWeighting:

    def __init__(self, sigma_data=0.5):
        self.sigma_data = sigma_data

    def __call__(self, sigma):
        return (sigma**2 + self.sigma_data**2) / (sigma * self.sigma_data)**2


class VWeighting(EDMWeighting):

    def __init__(self):
        super().__init__(sigma_data=1.0)


class EpsWeighting:

    def __call__(self, sigma):
        return sigma**-2.0