Random? The girl looks exactly like Holly Valance.
Or more like a younger Nicole De Boer.
AI generation of fake celeb images
31–36 of 36 posts
Re: AI generation of fake celeb images
#32I read the paper, but I did not understand a thing. What is the path to follow (for example, books or papers to read) in order to at least understand what the paper is talking about? My background is in computer science.
At what point did it go from understandable to not for you? Do you understand GAN architectures? Basic ideas of the DCGAN paper?
I did the Udacity nanodegree last year and the only part I never understood was the call to the "de-convolution" operator in tensorflow. It seems that every description keeps painting the same picture of how the two networks are in competition to reach "nash equilibrium". I think they really skimp over what a "de-convolution" actually is.
Re: AI generation of fake celeb images
#33Earlier quoted context omitted.
Just came here to say that it's time to start a gossip magazine about completely imaginary people. You beat me to it. However I disagree about text generation, which seems to me to require a perfect equivalent of human intelligence to be at least acceptable. (I'd call it AGI-complete, or maybe HI-complete).
Gossip about people you’ve never heard of or seen completely defeats the allure of gossip doesn’t it?
No threat of lawyers, no recourse, no boring luls, no lack of luxery/perversion and punnishment patterns, which allows for envy to be disguised as moral outrage - synthetic gossip is better then the real thing.
We allready have revived and virtual stars on the stage.
Re: AI generation of fake celeb images
#34Earlier quoted context omitted.
At what point did it go from understandable to not for you? Do you understand GAN architectures? Basic ideas of the DCGAN paper?
I did the Udacity nanodegree last year and the only part I never understood was the call to the "de-convolution" operator in tensorflow. It seems that every description keeps painting the same picture of how the two networks are in competition to reach "nash equilibrium". I think they really skimp over what a "de-convolution" actually is.
Did you do the DLND? If so, they may have updated the videos, as the current explanation of conv2d_transpose seemed fairly clear to me. Or maybe it was some of the extra materials they provided that helped. I think I found a good video on YT also.
Re: AI generation of fake celeb images
#35Random? The girl looks exactly like Holly Valance.
I think the only celebrity it looks like is Tiffani Thiessen, from Saved By The Bell and Beverly Hills, 90210.
http://ilarge.lisimg.com/image/425028/1118full-tiffani-thies...
Re: AI generation of fake celeb images
#36Earlier quoted context omitted.
I did the Udacity nanodegree last year and the only part I never understood was the call to the "de-convolution" operator in tensorflow. It seems that every description keeps painting the same picture of how the two networks are in competition to reach "nash equilibrium". I think they really skimp over what a "de-convolution" actually is.
Did you do the DLND? If so, they may have updated the videos, as the current explanation of conv2d_transpose seemed fairly clear to me. Or maybe it was some of the extra materials they provided that helped. I think I found a good video on YT also.
yea I did that program. I'll check it out again at some point and see if they added more description on that part of it.