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Question on metric implementation details (AKD / FVD / TLME) for reproducibility #8

@WXK610

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@WXK610

Hi, thanks for open-sourcing this project.

I am trying to reproduce the evaluation results in the paper. Currently, I can reproduce PSNR, SSIM, LPIPS, and IDS, but I am unable to reproduce AKD, FVD, and TLME.

I have a few questions regarding the implementation details:

AKD: How exactly is AKD computed in your paper? Is there any reference implementation or official code for it, including the landmark detector, normalization, and averaging strategy?

FVD: Which FVD implementation did you use (for example, the StyleGAN version)? Is FVD computed at the dataset level, or per video and then averaged?

TLME: How is TLME defined and computed? Is there any released code for this metric?

I saw that the paper mentions metric details in the supplementary material, but I could not find the supplementary material or any public implementation details for AKD, FVD, or TLME in the released code.

Any clarification would be greatly appreciated. Thanks!

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