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I read on some resources that the FID score should be calculated using the dataset of generated outputs and the dataset that was used to train the generator. This feels a bit counter-intuitive since also have the testing dataset (test_pairs) as well in our case. Which datasets should we use to get the FID score? It seems that comparing with the training dataset (which is much larger) I usually get a better FID score for CP-VTON.
The text was updated successfully, but these errors were encountered:
I read on some resources that the FID score should be calculated using the dataset of generated outputs and the dataset that was used to train the generator. This feels a bit counter-intuitive since also have the testing dataset (test_pairs) as well in our case. Which datasets should we use to get the FID score? It seems that comparing with the training dataset (which is much larger) I usually get a better FID score for CP-VTON.
Hello, I would like to ask how you calculate the FID score? Are you using the try-on results generated from the test and the images of the person inputted? My FID score is particularly high.
I read on some resources that the FID score should be calculated using the dataset of generated outputs and the dataset that was used to train the generator. This feels a bit counter-intuitive since also have the testing dataset (test_pairs) as well in our case. Which datasets should we use to get the FID score? It seems that comparing with the training dataset (which is much larger) I usually get a better FID score for CP-VTON.
The text was updated successfully, but these errors were encountered: