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sihyun-yu / digan

Official PyTorch implementation of Generating Videos with Dynamics-aware Implicit Generative Adversarial Networks (ICLR 2022).
https://sihyun.me/digan/
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Evaluation details about UCF-101 (split information) #16

Closed hse1032 closed 1 year ago

hse1032 commented 1 year ago

Thanks for your great work!

I have some questions about the FVD calculation on UCF-101 dataset.

As noted in the paper, there are two different experiments for UCF-101, (train) and (train + test) split.

My questions are as below:

  1. Does this codebase use (train) split? (Does this codebase uses (train) split as training data and (test) split as real statistics for FVD?)
  2. When you use (train + test) split, do you also calculate the real statistics for FVD from (train + test) data?
sihyun-yu commented 1 year ago

Hi,

  1. This codebase uses the entire (train+test) dataset.
  2. Yes, I used train+test split as well for evaluation