Unpaired Image-to-Image Translation using Cycle-Consistent Adversarial Networks
1–10 of 146 posts
Re: Unpaired Image-to-Image Translation using Cycle-Consistent Adversarial Networks
#2Re: Unpaired Image-to-Image Translation using Cycle-Consistent Adversarial Networks
#3Re: Unpaired Image-to-Image Translation using Cycle-Consistent Adversarial Networks
#4Re: Unpaired Image-to-Image Translation using Cycle-Consistent Adversarial Networks
#5it feels like there's a new deep learning paper each week, ever so slightly bringing me closer to an existential nervous breakdown.
Re: Unpaired Image-to-Image Translation using Cycle-Consistent Adversarial Networks
#6Why 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
#7Re: Unpaired Image-to-Image Translation using Cycle-Consistent Adversarial Networks
#8The 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
#9The 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
#10Direct link to research paper: https://arxiv.org/pdf/1703.10593.pdf