Reproducing Table 1, Random Inpainting FID for FFHQ256

DPS2022 / diffusion-posterior-sampling

Official pytorch repository for "Diffusion Posterior Sampling for General Noisy Inverse Problems"

https://dps2022.github.io/diffusion-posterior-sampling-page/

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Reproducing Table 1, Random Inpainting FID for FFHQ256 #8

Open neginraoof opened 1 year ago

neginraoof commented 1 year ago

Hi, we are trying to reproduce table 1 results, using the https://www.kaggle.com/datasets/xhlulu/flickrfaceshq-dataset-nvidia-resized-256px FFHQ256 dataset. So calculating FID for the reconstructed inpainting images (first 500 images of the dataset), we see an FID of 46.24. Would you mind sharing the preprocessing steps needed to match the reported 21.19 FID score?

Thanks!