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I have trained on EBB dataset with Pytorch PyNET.
Details:
Training on level2, psnr on valid set(sampled some pic from ebb) can reach ~23.
But on level1, psnr on same valid set only ~4. The result on visual set all white.
Difference:
I checked difference with tf-version, only find tf-version no instance normalization at level 1.
So what's difference with tf-version, besides
I have trained on EBB dataset with Pytorch PyNET. Details: Training on level2, psnr on valid set(sampled some pic from ebb) can reach ~23. But on level1, psnr on same valid set only ~4. The result on visual set all white. Difference: I checked difference with tf-version, only find tf-version no instance normalization at level 1. So what's difference with tf-version, besides
Do you have EBB dataset link? The official link is not provided now.
Will you provide Pytorch version of the code and model in the future?
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