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Adjust age, gender, and emotion of faces with AI

3 followers

Adjust age, gender, and emotion of faces with AI

3 followers

All of the portraits in this demo are generated by an AI model called “StyleGAN”. Using a technique we call "semantic shaping", we're able to change the age, gender, or emotion of a face.

Launch tags:Artificial Intelligence

Launch Team

Context.devAPI to scrape anything for AI, 20,000+ developers trust us.

Promoted

Osaurus

This is amazing. It won't be long before we have what Philip K Dick presaged in A Scanner Darkly — with his scramble suits. On the internet anyway.

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7yr ago

Product Hunt

This is wild. This is like v2 of the viral site,This Person Does Not Exist.

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7yr ago

Deep Sampler 2 - Future of Sound Design

Maker

Hi all! Excited to share this (trippy) demo with the ProductHunt community. All of the portraits in this demo are computer-generated by a machine learning model called “StyleGAN”. While most of the recent excitement around StyleGAN centers around its amazing ability to generate infinite variation (e.g. thispersondoesnotexist.com <3), the emergent semantics encoded in the latent space are impressive as well. For instance, faces in this space allow for some semantic vector math, reminiscent of word2vec’s “king - man + woman = queen” (https://p.migdal.pl/2017/01/06/k...). We can find the latent representations of, say, smiling people. We can then average them and create a new semantic vector that, when added to pictures of non-smiling faces, makes them all smile. Some possible applications: - Generation of assets for games - Customizing ad photography by region/demographics - Lifelike, custom avatars - Compression - Modeling longitudinal medical imagery - Zero-shot inpainting, super-resolution, etc Happy to answer any questions! Shameless plug: if you're interested in working on this stuff with us, contact us at hello@psl.com :)

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7yr ago

Great job, Berkeley!

Pros:

Really cool use of AI Created by a smart engineer

Cons:

Nothing that comes to mind

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7yr ago

This site is just serving up pregenerated images made ahead of time using StyleGAN?

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7yr ago

Deep Sampler 2 - Future of Sound Design

Maker

@vincentntang good eye - that’s right. Since the random images and semantic vectors are fixed, it didn’t make sense to run an inference server (yet!)

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7yr ago

@berkeleymalagon this is combinations without repetitions? n=10, r=3. so it's 120 images? Couldn't help but think of math when seeing this

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7yr ago

Deep Sampler 2 - Future of Sound Design

Maker

@vincentntang nope, just one pre-generated pic for each spot on the sliders, so, 10*5*5 = 250 total images. of course, the number of graduations on the sliders was an arbitrary choice. but, watch this space ;)

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7yr ago

@berkeleymalagon ah okay silly me, it's permutations with repetition. Didn't see the last two sliders were 5 options. I was looking at the images too, how'd you make the transitions so seamless here too? really nice design

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7yr ago

Deep Sampler 2 - Future of Sound Design

Maker

@vincentntang there's a blurring effect that makes it blend nicely :)

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7yr ago