DmitryUlyanov / deep-image-prior

Image restoration with neural networks but without learning.
https://dmitryulyanov.github.io/deep_image_prior
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Replacement for the image of Lena #19

Closed xuv closed 6 years ago

xuv commented 6 years ago

This is not a technical bug, but an important matter you want to address.

In the selection of example images, you have included the photo known as Lena (or Lenna).

While I'm guessing you might want to show the behavior of your algorithm on human faces, the choice of the image in this case is quite unfortunate and widely discussed as an unwanted picture in today's image processing sets.

Inspired by other projects, please consider using one of these images instead:

Thank you for your help and addressing this report with the most careful attention.

Have a nice day

DmitryUlyanov commented 6 years ago

Hi, we understand that this picture is unwanted. We used Lena image only because it serves an example in "Shepard networks" paper, which we compare to. They provide 2 examples of their text inpainting method of which Lena is the most complex and interesting.

So please, understand it from our side: we do not aim to hurt someone's feelings by using inappropriate images, but only produce a scientifically-sound work with a fair comparisons.

We will do our best to make sure future works use other image than Lena when comparing to our work by providing an another text inpainting example.

xuv commented 6 years ago

Hello @DmitryUlyanov.

Thx for taking the time to look at this and for the explanation on why this image landed in your tests. Thanks also for pointing to the "Shepard networks" paper, it helped me understand better but also realize that you might have a possible solution in it for your comparison.

I believe that Lenna is here to show the behavior of your approach with image "Inpainting". And for that particular case, the paper you are comparing to proposes 2 examples. One is Lenna, but the other one is a picture of fruits and veggies.

Would you please consider using that other example instead? Would that make your comparison still valid while addressing this sexist problem?

Thanks for your help and time.

DmitryUlyanov commented 6 years ago

Replaced.

derkinsurprise commented 5 years ago

prognulsya.