I did something similar in a big fashion company in the past
They had a non-utilized collection of tens of thousands of tagged clothing photos going back to the 80s. I Used DCGAN to generate images of new clothing, then model arithmetic to request specific ("sparkly winter dress") pieces. It was pretty amazing to see the strength with existing photos
The higher ups stared, blinked a few times, and just muttered they don't get it
I have no doubt this is in the future of fashion design in the next 20 years. I just hope those images don't get lost when the company inevitably shuts down
Fashion is so diverse that you can hardly ever create something that looks distinctively new. Me with these shoes. They either look weird or regular, and the regular probably exist in a very similar style.
I work with a shoemaker and I've commissioned a few bespoke sneakers (trainers as we call them here) in the past. He comes up with new designs from scratch, and I made suggestions and ask for changes based on my taste.
Usually I browse online shops for inspiration, but I'm curious about whether this service can produce original designs sensible enough to, at least, be the base of a new shoe.
Yeah the process is being used to generate sneakers well before this guy even started scraping the net. We had our first prototype in production last winter and just finished our second two. http://aire-gan.com
Yeah, it looks like the server was not able to handle the visitors. I'm completely new to webhosting, but I will try to get everything back online soon.
I get that the title is in the theme of this-x-does-not-exist but I don't think it's true in this case. Many of these look like existing models.
The amount of variation in sneakers is limited so when you have 50k training images you end up copying some of them with little to no change because if you deviate too much you end with something that doesn't pass as a sneaker at all.
In most cases, GAN produces a random mixture of features extracted from real photos. That's also why you can tempt GitHub Copilot to regurgitate Carmack's swearing comment.
Sufficiently advanced random mixture of features extracted from real photos is indistinguishable from genuine understanding.
That's why I don't understand this argument. It's not true - you can make the AI generate specific samples, but most samples can not be found in the training data - but even if it was true, it wouldn't prove anything anyways, because you can always say "well the features it copies are just smaller" until the features are just combinations of pixels. It's unfalsifiable even for human artists.
I found it frustrating, since most texts make no sense. You can force yourself to imagine a situation where they make sense, but then it becomes tiring.
I guess it's just lightly trained with the captions users have submitted for each image. It's a random meme generator that didn't even need AI if this was the intended end product.
Maybe it being crappy is actually the joke and I'm missing it.
A few years ago, I interviewed at StockX, and the team was working on exactly this – using GANs to generate pictures of shoes. Interesting to see essentially the same thing here a few years later.
Wow, I think this would be pretty useful as a shopping guide in an online shop: Let the user pick a few models they like and render more items based on the chosen ones. Present actual sneakers you have in stock at the last step.
I think the experience is more like an employee coming to you and asking you what you're looking for in a shoe, instead of entering an empty store and browsing all available shoes. I would certainly prefer some guidance, as I usually have no clue what I'm looking for.
Yeah, I love it when stores lure me in with products that I want, and then only have products that I don't want. I never rage-quit the store when that happens; I only ever buy dregs that they have in stock. I would love spending hours at a store browsing imaginary products that I can't buy; engagement is a perfect metric to predict profitability and the world needs a lot more than that.
All that said... if you change the contract a bit, it could work. Kinda like groupon, but people can browse AI-generated shoes and the most popular ones enter a tournament, and the winning design gets made for purchase. That could be pretty cool.
Too many of those shoes look like they have a munged Nike logo which means that any company trying to ship them would soon be receiving a kindly call from the Nike megacorp lawyers. You would have to improve the training to avoid generating trademark / logo infringing designs. Could this be trivially done?
Thank you for all your support, guys! I was not expecting this much traffic. I am currently in the process of moving my site to a better server.
While this is in progress, only the images cached by Cloudflare can be loaded. This means that the editor for most shoes will not work. I apologize for the inconvenience!
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They had a non-utilized collection of tens of thousands of tagged clothing photos going back to the 80s. I Used DCGAN to generate images of new clothing, then model arithmetic to request specific ("sparkly winter dress") pieces. It was pretty amazing to see the strength with existing photos
The higher ups stared, blinked a few times, and just muttered they don't get it
I have no doubt this is in the future of fashion design in the next 20 years. I just hope those images don't get lost when the company inevitably shuts down
Usually I browse online shops for inspiration, but I'm curious about whether this service can produce original designs sensible enough to, at least, be the base of a new shoe.
You can see some of the gen'd sneaks on: https://web.archive.org/web/20211011073927/https://thissneak...
Thanks for the archive link!
Dead Comment
The amount of variation in sneakers is limited so when you have 50k training images you end up copying some of them with little to no change because if you deviate too much you end with something that doesn't pass as a sneaker at all.
That's why I don't understand this argument. It's not true - you can make the AI generate specific samples, but most samples can not be found in the training data - but even if it was true, it wouldn't prove anything anyways, because you can always say "well the features it copies are just smaller" until the features are just combinations of pixels. It's unfalsifiable even for human artists.
https://imgflip.com/ai-meme
"This meme does not exist". Definitely good for a few minutes messing around while you have your morning coffee/tea/beverage of personal choice.
I guess it's just lightly trained with the captions users have submitted for each image. It's a random meme generator that didn't even need AI if this was the intended end product.
Maybe it being crappy is actually the joke and I'm missing it.
Drake Meme - Doesn't Work
Fry - Works well
American Choppers - broken
Distracted Boyfriend - Really Works well often funny.
Women yelling at cat - Works well
Skeptical Third world - Hit or miss can be funny
Batman Slap - Works pretty well
Disaster Girl - Works well often funny.
That Would be great - Works very well but not funny.
Change my mind - Totally broken
Interesting Man - Works but not usually funny
Epic handshake - Usually nonsense
Exit ramp - 50/50 broken funny
pikachu - works but not funny
Grandma internet - works but not funny
One Simply - Hit or miss on funny but works
Leonardo Cheers - Broken
Trump Signs - Broken
Mocking Spongebob - Broken
Doge - Broken
Yoda - Nonsense and broken
Expanding Brain - Mostly broken
Seagul - Broken
Tom - Broken
Escaping ballon - 50/50 broken funny
The Rock - 50/50 broken funny
Spongebob dont - often funny
Boardroom - broken
Is this a pigeon - often nonsensically funny.
Evil kermit - broken
Third world success kid - Works sometimes funny
Uno Draw - Works not funny
Yall got any - kinda works but not funny
Ancient aliens - works well often funny
Scroll of truth - works sometimes funny
killed hannible - all over the place
Waiting skelly - Mostly works not funny
Hide the pain - Sort of works can be really funny when it does
Marked safe - works not funny
X everywhere - half broken can be funny
oprah - mostly broken
sad spongebob - works but not funny
Thinking - all over the place mostly nonsense but can be funny
Tuxedo poo - all over the place can be funny
hard to swallow pill - works can be funny.
Yeah, I love it when stores lure me in with products that I want, and then only have products that I don't want. I never rage-quit the store when that happens; I only ever buy dregs that they have in stock. I would love spending hours at a store browsing imaginary products that I can't buy; engagement is a perfect metric to predict profitability and the world needs a lot more than that.
All that said... if you change the contract a bit, it could work. Kinda like groupon, but people can browse AI-generated shoes and the most popular ones enter a tournament, and the winning design gets made for purchase. That could be pretty cool.
While this is in progress, only the images cached by Cloudflare can be loaded. This means that the editor for most shoes will not work. I apologize for the inconvenience!