Comments (9)
Hi! Thank you for your interest in our work!
L1 is not used and we just forgot to strip this parameter from the configs. Sorry for confusion.
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Therefore what is the a correct config in order to do finetunning on small masks, Celebhq small masks has L1 values mask not to zero, so I guess celebhq small mask was trained with L1 then?
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Could you please point, which config has nonzero l1 weight for missing areas?
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What I meant is that in previous post you said that L1 loss was not used but looking at the configs. It is used in may. One example of this is lama-celeba-hq/lama_small_train_masks
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Also, why You set the weight_know to 10, this is to force that the inpainted image as a similar aspect in out-of-mask zones?
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weight_known is only applied to parts of images outside the mask and it does not affect actual inpainting quality - you can safely switch it off. weight_missing is the weight of l1 inside mask - and it is set to 0 in all our configs. This is why I tell that L1 is not used.
Also, why You set the weight_know to 10, this is to force that the inpainted image as a similar aspect in out-of-mask zones?
Original motivation was like that, but later we figured out that this is not necessary. weight_known is there just for historical reasons - and it can be safely removed
from lama.
Can you point me to configurations trained with CelebHQ that weight_known is set to 0. In all of them weight_known is set to 10 and affects the training.
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I did not tell that we have weight_known=0 in any configs. The point is that the resulting quality does not depend on this parameter be it 0 or 10 or 100.
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I'm closing the issue for now. If you have any other questions, feel free to reopen it or create a new one.
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