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One of the big disadvantages of the FID is that to obtain meaningful results, the total number of samples should be equal/bigger than the latent space of the model used to compute the features. This paper proposes a new implementation of the FID, which the authors coined FastFID, that is able to deal with this limitation.
The text was updated successfully, but these errors were encountered:
One of the big disadvantages of the FID is that to obtain meaningful results, the total number of samples should be equal/bigger than the latent space of the model used to compute the features. This paper proposes a new implementation of the FID, which the authors coined FastFID, that is able to deal with this limitation.
The text was updated successfully, but these errors were encountered: