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Hi!
Thanks for this wonderful piece of work. I've tried running the EDSR-baseline pre-trained LIIF model as released and it seems to work good on some pretty random out-of-domain images I tried as well. This seemed surprising since the model was trained with only 800 images in DIV2K.
So do you have any counter-examples you guys found out for where the super-resolution fails significantly ?
The text was updated successfully, but these errors were encountered:
Hi!
Thanks for this wonderful piece of work. I've tried running the EDSR-baseline pre-trained LIIF model as released and it seems to work good on some pretty random out-of-domain images I tried as well. This seemed surprising since the model was trained with only 800 images in DIV2K.
So do you have any counter-examples you guys found out for where the super-resolution fails significantly ?
The text was updated successfully, but these errors were encountered: