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I used run.py to generate interpolated frames on UCF101 dataset first and then calculated average PSNR. However, there is a little difference between my result and yours from the paper. The model I use is CyclicGen_model.py and I also test your result images. Without motion mask, the difference is around 0.4dB. So is it because of the motion mask or other fact that has influence on the result images?
The text was updated successfully, but these errors were encountered:
I don't think there are other factors that will change the PSNR. Please apply the motion masks and calculate the PSNR again to see whether the result match the paper. I also suggest you to use the evaluation code from DVF to avoid some minor implementation differences. Thank you!
Hi!
I used run.py to generate interpolated frames on UCF101 dataset first and then calculated average PSNR. However, there is a little difference between my result and yours from the paper. The model I use is CyclicGen_model.py and I also test your result images. Without motion mask, the difference is around 0.4dB. So is it because of the motion mask or other fact that has influence on the result images?
The text was updated successfully, but these errors were encountered: