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 ?
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 ?