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Adjust age, gender, and emotion of faces with AI

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.
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11 Reviews5.0/5
Ryan Hoover
Founder, Product Hunt
This is wild. This is like v2 of the viral site,This Person Does Not Exist.
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Berkeley Malagon
Maker
data science, apps
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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Jason CrowSoftware Guy
Cool stuff Berkeley!
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Berkeley Malagon
Maker
data science, apps
@greatwebguy Thanks Jason! It was a fun project - lots of interesting applications (and implications)
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Chris Messina
Mentor
#1 Product Hunter! 🏆 ko-fi.com/chris
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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It takes a while to load but the results are impressing.
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Berkeley Malagon
Maker
data science, apps
@youngorwell thanks for the feedback! We moved everything to a CDN so it should be much faster now.
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