11–20 of 185 posts
Originally submitted just on 12 months ago: https://news.ycombinator.com/item?id=19144280 (872 points, 242 comments)
Her eyes were melting into black and white streaks curling down over her sagging cheeks; her smile was perfectly white, and just a little too long.
I refreshed on instinct, and haven't seen anything like it since.
I have a question - When generating a new person (or whatever it is that does not exist) can you know that it isn’t like any of the images that went into the training data set? How likely is it for it to actually exist after all?
The model has 18x512 parameters, and all 9000 parameters are 32-bit floats. Even assuming only 16 bits of randomness for each parameter (to keep them small enough, so you don't get too wild, because the center of 0 is a pretty homogenized face), 16^9000 is a lot of permuations of faces. They will, of course, borrow from all of the 70k faces on Flickr that power StyleGAN, in varying degrees.
Well, this is the question. How do you know that you can make that assumption? Also even though you have ~9000 parameters they could be highly dependent.
I'm intrigued about the possibility of using these as stock photos - it dies away with the need for model permissions (or does it?). Presumably the copyright on the image resides with the person who ... programmed the neural net? Trained the neural net? Is running the server?
The persons whose images the net was trained with also might have, certainly if the network was trained with only a few images.
There was a pic of an older guy, but what was unsettling was the woman peeking over his shoulder; like a friend or a family member, leaning into the photo. Her eyes were melting into black and white streaks curling down over her sagging cheeks; her smile was perfectly white, and just a little too long. I refreshed on instinct, and haven't seen anything like it since.
There was a pic of an older guy, but what was unsettling was the woman peeking over his shoulder; like a friend or a family member, leaning into the photo. Her eyes were melting into black and white streaks curling down over her sagging cheeks; her smile was perfectly white, and just a little too long. I refreshed on instinct, and haven't seen anything like it since.
https://i.imgur.com/RmSEnaT.jpg https://i.imgur.com/RhROFSf.jpg https://i.imgur.com/NTC2ZiN.jpg
I'm intrigued about the possibility of using these as stock photos - it dies away with the need for model permissions (or does it?). Presumably the copyright on the image resides with the person who ... programmed the neural net? Trained the neural net? Is running the server?
I would guess the one picking the photos and training parameters would have the largest part of the copyright. Whether courts will decide others have some rights to is TBD. The persons whose images the net was trained with also might have, certainly if the network was trained with only a few images.
I have a question - When generating a new person (or whatever it is that does not exist) can you know that it isn’t like any of the images that went into the training data set? How likely is it for it to actually exist after all?
Imagine seeing your lookalike in here.
