I overspoke. FID is a fine metrics to observe the training progress of your own model. And it correlates well with some coherency issues of generative models. B

I overspoke. FID is a fine metrics to observe the training progress of your own model. And it correlates well with some coherency issues of generative models. But for cross model comparisons, especially for models that generally do well under FID, it is not discriminative enough to separate better / good.