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Unpaired Image-to-Image Translation using Cycle-Consistent Adversarial Networks

junyanz.github.io

1–10 of 146 posts

Re: Unpaired Image-to-Image Translation using Cycle-Consistent Adversarial Networks

#6
The next step is "turning pencil drawings into photos" and using it to fabricate evidence on grand scale.

Why bother catching politicians doing something when you can just draw them in? Will wreak havoc on societies with weak politics/reporting culture.

Re: Unpaired Image-to-Image Translation using Cycle-Consistent Adversarial Networks

#8
post #6

The next step is "turning pencil drawings into photos" and using it to fabricate evidence on grand scale. Why bother catching politicians doing something when you can just draw them in? Will wreak havoc on societies with weak politics/reporting culture.

This is the first thing I thought, really scary.

Re: Unpaired Image-to-Image Translation using Cycle-Consistent Adversarial Networks

#9
post #6

The next step is "turning pencil drawings into photos" and using it to fabricate evidence on grand scale. Why bother catching politicians doing something when you can just draw them in? Will wreak havoc on societies with weak politics/reporting culture.

How long until personal testimony and non-repudiable crypto signatures are the only admissible evidence in court?

Re: Unpaired Image-to-Image Translation using Cycle-Consistent Adversarial Networks

#10

Direct link to research paper: https://arxiv.org/pdf/1703.10593.pdf

And a direct link to the teaser screenshot...it's scaled down on the github readme: https://raw.githubusercontent.com/junyanz/CycleGAN/master/im...
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