FID evaluation details

[kpandey008]

FID evaluation details

[kpandey008]

Hi,
I used the training split of CIFAR-10 and the entire dataset of Celeba-64 for FID computation. For both CIFAR-10 and CelebA-64, the FID score computation is done using 50k generated samples. We used the torch-fidelity (https://github.com/toshas/torch-fidelity) package to compute the FID scores. The samples used for computing the FID will be made publicly available as well.

[ZhaoyangLyu]

Thanks for your reply! That really helps!
I have two more questions.

1. We need to resize the original images in CelebA to 64*64 before computing FID. Is that correct?
2. And do you think it is appropriate to use Inception Score to evaluate the generation quality for CelebA dataset?

[kpandey008]

1. Yeah we need to resize the original images to 64 x 64. FID is susceptible to the type of resizing used. We reported all our results by resizing the images to 64 x 64 using bilinear resizing.
2. Sure Inception score can be reported for CelebA-64 but I found previous work to only report FID so we do not report Inception score for this dataset.

[ZhaoyangLyu]

Thanks for your reponse!