Seonglae ChoFID
Better aligned with human perception compared to pixel-based metrics like and MSE
While Frechet Distance was originally a concept for measuring distance between curves, the Frechet Distance used in Frechet Inception Distance (FID) is a modified concept applied to measuring distance between probability distributions. It measures the Wasserstein-2 distance (W2) by comparing the mean and covariance of probability distributions
Since inherently accounts for noise in its definition, it is widely used in vision models that employ noise-based modeling.