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This person does not exist
- jalgos_eminator 8y agoWhat kind of viral marketing campaign is this for?
- micael_dias 8y agoSome ML face generator I assume
- AzzieElbab 8y agoYou aren't killing them as we click the photos, are you?
- vortico 8y agoNo, only when you unload the page.
- dsfyu404ed 8y agoYou joke but the first image I got was a Chinese looking guy. I was expecting to scroll and see a story about how he "disappeared".
- ovebepari 8y agoha ha, classic.
- wardbradt 8y agoGoogling "nvidia face generator" lead me to "A Style-Based Generator Architecture for Generative Adversarial Networks," (6 Feb 2019) a paper showing the faces on the site. https://arxiv.org/pdf/1812.04948.pdf https://arxiv.org/pdf/1812.04948.pdf
- janten 8y agoCode: https://github.com/NVlabs/stylegan https://github.com/NVlabs/stylegan
- deleted 8y ago[deleted]
- jobigoud 8y agoGAN creating faces purely at the pixel level still seems a strange approach to me. In some years it will feel very restrictive. I guess it's the only tractable method at the moment. Is anyone working on a GAN to generate bone structure then flesh and skin/mouth/eyes textures and pipe the result in a ray tracer? It's incredible what can be done in 2D solving directly for the result, but imagine where this goes when this works in volume and multiple levels more driven by physics.
- lovasoa 8y agoI guess finding training data for bone structure, flesh, and skin textures is harder than finding pictures of faces...
- daveevad 8y agoOddly, one's bone structure likely possesses more intrinsic privacy protections despite being, arguably, less personally identifiable than one's face. Of course, this is also why training data is more difficult to acquire, as you mention.
- selestify 8y agoWouldn't being less personally identifiable mean it also offers more privacy protection?
- devilsbabe 8y agoHe means that there are rules preventing the data from being shared, making it harder to find a training set.
- daveevad 8y agoUpon further reflection, my observation's mostly a straw man. HIPAA covers a patient's face when a dermatologist takes an image just as a x-ray covers a bone structure. Privacy is hard to talk and reason about without defining everything specifically. This projects images were sourced from Flickr. You can find medical imagery on Flickr reasonably easy as well it turns out.
- aaron695 8y agoCan you get multiple photos of a "person"?
- ohaideredevs 8y agoLooking to fill out your dating profile?
- aaron695 8y agoYes, Don't underestimate how hard it is to get photos of people for scams. And they are very important for building trust. This should be big in the blackhat world, it's possibly the start of whole new scams against a whole new set of people.
- gwern 8y agoYes. You can take a particular latent point and generate slight variants of it. You could also apply different style/noises to change the overall appearance like orientation. Take a look at the StyleGAN paper's figures, the StyleGAN video, or the various interpolation videos people have made.
- andrewmcwatters 8y agoGANs are fascinating, but I'd love to see a post-processing effect that removes some of the pixel fringe created during GAN composition.
- throwawaymath 8y agoI should hope not! https://imgur.com/a/ptgKbh1 https://imgur.com/a/ptgKbh1
- 131012 8y agoSome result are nauseating examples of uncanny valley at its best (or worst)!
- levesque 8y agoThe presentation is very interesting. That's always what amazes my with those GAN outputs. These people do not actually exist. Obviously, there are some funky examples. Nothing wrong with mine at first, although his buddy should probably see a doctor: https://imgur.com/a/dkS8Ux5 https://imgur.com/a/dkS8Ux5
- SuperGent 8y agoI noticed that whenever there was more than one person, or something touched the face, the results looks horrific.
- jessedhillon 8y agoFound Martin Short's brother https://imgur.com/a/2iA7t3N https://imgur.com/a/2iA7t3N
- pps 8y agoYep, scary stuff :O https://imgur.com/PIOlhOu https://imgur.com/PIOlhOu
- rzzzt 8y agoThe Accidental Teratoma Compendium
- Tade0 8y agoMine did a circle game on me but when I tried to download it I got another image.
- minutillo 8y ago*This person is a composite of several people who do exist
- macawfish 8y agoI hear ya... Don't you think you're stretching the meaning of the words "composite" and "several" a little far though?
- jolmg 8y agoAsking as an ML layman, isn't it mixing something like 6 maybe 10 features of different people?
- gnulinux 8y agoMaybe, maybe not. GANs are not necessarily interpretable so it's not easy to know the answer to your question.
- alanbernstein 8y agoWith tens of thousands of training images, and hundreds of dimensions in the latent space, I don't think I would assume this is true. You may be thinking one feature is "eyes", but the eyes may instead be built out of 10 sub-features. Those sub-features may be inextricably linked to other, identifiable, macro-features.
- drugme 8y agoAnd yet, every few page refreshes or so... "I'm in love".
- sova 8y agoThere was a study done on faces and beauty. They created faces based on global averages of features and found these (synthetically invented) faces to rank even more highly on the beauty scale.
- misterdoubt 8y agoI'm in love with this toupee. https://imgur.com/a/EnkHWnc https://imgur.com/a/EnkHWnc
- m0nty 8y agoI had a similar one ... and yet, not quite enough to outright convince me it was a fake. Because some people do wear weird hats and toupees.
- andyidsinga 8y agooh man, that is funny. took me a second to see what is going on there.
- PeterisP 8y agoThe generator couldn't decide whether it's drawing hair or a hat, so it sort of did both.
- booleandilemma 8y agoAre all of these nonexistent people of consensual age though?
- avip 8y agoAshley Madison should acquire this tech.
- lqet 8y agoThis is a strong, clickbaity claim, which seems quite hard to prove :) But seriously: it may be essential for legal reasons to be 100% sure that an automatically generated face does in fact not depict a real-life person.
- misterdoubt 8y agoNo more than it is essential to be 100% sure that a painting does not depict a real-life person.
- lqet 8y agoA painting is usually immediately recognizable as a work of art / fiction. Do you want to appear as a team member on an escort service site which uses automatically generated placeholder images to protect their employees? Do you want your face on a billboard ad for Viagra? There is a huge difference between "hey, that painting looks like you" and "hey, that is a photograph of you".
- hopler 8y agoWhy? Is it illegal to look like someone else? I look like my sister and my dad.
- slg 8y agoThat almost certainly isn't needed for a project like this, but I wonder if it would be needed to try to make money off this. It might be like the whole "The events depicted in this movie are fictitious..." warning you see at the end of almost every movie regardless of it is some realistic and plausible story or if it something like Avatar.
- pexaizix 8y agohttps://www.theguardian.com/world/2011/oct/11/spanish-mp-fbi-al-qaida https://www.theguardian.com/world/2011/oct/11/spanish-mp-fbi...
- AndrewKemendo 8y agoI've been wondering what is going to happen when bots start using these images as profile pictures? Previously it wasn't trivial to do a GAN image generator, now as this site shows it's, if not trivial, also not particularly hard.
- hopler 8y agoWhat's the practical difference between a synthetic fake profile photo and a stolen filtered real one?
- AndrewKemendo 8y agoSpeed of content generation. You can create thousands of synth ones a second.
- gambler 8y agoSince it uses a deep neural network, I don't think it's "thousands a second". Also, you can download an image and crop a face out of it in several seconds. You could even automate the process. The biggest problem is transferring faces to existing photos. It was hard to do manually. Now it's much easier. Also, people are generally trained to ignore various artifacts by CGI-ridden movies and compression algorithms. So much of our notion of how the world looks comes from digital imagery, it's kind of scary. I think we need to change the threshold of quality for an image/video to constitute "proof" of any kind. You can hide most of the weird artifacts by scaling things down or passing them through heavy compression.
- gwern 8y ago> Since it uses a deep neural network, I don't think it's "thousands a second". The generator is like 150MB. The forward pass is <0.1s. Hypothetically you should be able to generate on a decent GPU like a 1080ti with 11GB VRAM at full utilization <730 images per second. Use a few GPUs and you're at thousands per second.
- 1-6 8y agoA Lorem Ipsum for faces... It looks like a great way to build an employee profile page for a site.
- lintroller 8y agoFacum Ipsum sounds like an entertaining side-project. Coupling one of these images with a random profile generator for each employee and outputting to JSON. One button press would populate your app with relevant data.
- 1-6 8y ago+ https://www.fakenamegenerator.com https://www.fakenamegenerator.com
- dmschulman 8y agoInteresting that the Vehicle Record lists cars that are only available in Europe and Asia despite generating exclusively US addresses/personas.
- werds 8y agoi never miss an opportunity to link to this wonderful startup generator http://tiffzhang.com/startup/ http://tiffzhang.com/startup/
- pwython 8y agoWhat's funny is "Like Lorem Ipsum, but for people" is the tagline for randomuser.me, which currently uses stock photos with random user data. Combine these 2 and you got yourself a party. Run it several billion times, create an Earth-sized social network, then give it content with a meme generation system like Dank Learning https://arxiv.org/abs/1806.04510 https://arxiv.org/abs/1806.04510
- amvalo 8y agoTed was right.
- didymospl 8y agoLooks like a perfect tool for generating profile photos for troll bots. TinEye will soon no longer be able to help us.
- Marazan 8y agoThe first 3 I viewed were all incredible except for a weird little flaw around the edge of the hair/background line, first 2 had an unnatural notch out of their hair and the third was a weird discolouration/thinning of hair.
- misterdoubt 8y agoThere's often some issues around hair, glasses, and... other people in frame. https://imgur.com/2CjLFEP https://imgur.com/2CjLFEP
- booleandilemma 8y agoSo is now not the time for me to be starting my modeling career then?
- srinikhilr 8y agoThe first time I heard of GAN's creating faces of people who never existed was from the show "Person of interest", where the "machine"(an AI) creates a face and assigns it to its identity.
- WD-42 8y agoAdvertising companies are going to be stoked that they don't have to pay real to model anymore. Stock photos especially.
- 908087 8y agoNot as stoked as "blockchain" ICO scammers will be that they don't have to steal pictures for their "staff" pages anymore.
- ausbah 8y agobiggest weakness of this system seems to be generating realistic backgrounds, the faces look amazing - but around the edges some photos appear to "swirl" with the background
- mortenjorck 8y agoI've never read any benchmarks around render time on sophisticated GANs, so maybe the answer to this is obvious, but: Is this showing a random selection from a set of offline-generated images, or is the GAN actually generating these on each request?
- bognition 8y agoIt's definitely not generating an image for each page load. If you refresh the page you get the same image more often than you get a new image.
- jbattle 8y agoThis is what always bothers me about demonstrations of the technology. There's almost always a extra hidden layer of human curation of the output so we only see the examples that are most interesting (90% amazing result with a mixture of hilarious/horrible bad results for flavor) This work is impressive, I don't mean to take anything away from it, but if the author had to filter through 1000 images to select the 5 I saw, that's ... disappointing?
- caf 8y agoThe author posted elsethread to say that it is generating a new image every 2 seconds, and serving the latest one.
- agent008t 8y agoBut how synthetic are they? I.e., what does the "most similar", however you define it, sample in the training set look like?
- ashelmire 8y agoGood question! I'm guessing not very synthetic, with high similarity to examples in the training set.
- JoeSmithson 8y agoThis issue is covered in this Two Minute Papers video - https://www.youtube.com/watch?v=1ct_P3IZow0 https://www.youtube.com/watch?v=1ct_P3IZow0 (relevant section around 2:27)
- CapacitorSet 8y agoIt's worth noting that although at a first glance the face looks extremely realistic, there are some details that don't quite make sense and hint at a randomly-generated face. This is what I got: https://i.imgur.com/iCfzjkZ.jpg https://i.imgur.com/iCfzjkZ.jpg In no specific order: - weird hair above the person's right eye, that doesn't match with the overall hairstyle (the patch of short hair) or realistic hair behaviour (straight bit of hair) - what seems like beard on the chin, with unrealistic lighting - hair turns into leaves at the bottom - weird reflex in the left glass - mismatching shapes for glasses (there's a small bump only on the right glass)
- ashelmire 8y agoI noticed that there's generally odd texturing and hair placement. Wrinkles on an otherwise smooth face, or in weird places / directions. Hair of a mismatched color. The unusual facial texturing seems to occur more on the right side of these images.
- jdietrich 8y agoIt's also worth noting that a couple of years ago, most GAN-generated faces looked obviously wrong at 128x128px. It's entirely plausible that this approach is ultimately a dead end, but it's also plausible that we're at a crucial inflection point in the development of computing.
- vonseel 8y agoHrm, your example was quite glaring in its flaws, most of the images I saw, on the other hand, looked quite flawless. I actually came here to disagree with someone else who stated the images he saw had alien-like alarming characteristics, or something along those lines. I can’t tell most of these are fake even at full size on an XS Max.
- duderific 8y agoThere are some weird and disturbing artifacts if in one of the composite images, the person was touching their face: https://imgur.com/a/ptgKbh1 https://imgur.com/a/ptgKbh1
- ChrisArchitect 8y agomore details since none were provided: > Recently a talented group of researchers at Nvidia released the current state of the art generative adversarial network, StyleGAN, over at https://github.com/NVlabs/stylegan https://github.com/NVlabs/stylegan > I have decided to dig into my own pockets and raise some public awareness for this technology. > Faces are most salient to our cognition, so I've decided to put that specific pretrained model up. Their research group have also included pretrained models for cats, cars, and bedrooms in their repository that you can immediately use. > Each time you refresh the site, the network will generate a new facial image from scratch from a 512 dimensional vector. (https://www.facebook.com/groups/DeepNetGroup/permalink/805364403189777/ https://www.facebook.com/groups/DeepNetGroup/permalink/80536...)
- iandanforth 8y agoThis is likely drawing from the set of pre-generated faces. If so it is violating the attribution requirement of the license. (Attribution-NonCommercial 4.0 International) https://drive.google.com/open?id=1TKGTq6XgMBzA29EfOGD6RB9jjP56s9Vn https://drive.google.com/open?id=1TKGTq6XgMBzA29EfOGD6RB9jjP...
- derimagia 8y agoAre you sure? I would think the pre-generated list would weed out the obviously incorrect/malformed ones that you sometimes get.
- gwern 8y agoKarras et al 2018 dumped a random sample, not a screened sample. (This avoids cherrypicking accusations.)
- indigodaddy 8y agoAgreed, I got the EXACT same image twice, so I think that must be what is happening.
- gambler 8y agoI'm waiting for the time where all this neural technology will start to be used for something good, like making better games with more NPCs who can really talk. Maybe never. The life-cycle seems to be research -> malicious use -> hipster nonsense -> memes -> abandonment. Edit: the problems with these images look very much like application of anisotropic smoothing. G'MIC has filters like that. You can make this stuff look more realistic by blurring it (gaussian) and adding noise (uniform). Blurring hides small-scale irregularities, while noise makes blurring less obvious by adding small-scale "grains" that you perceive as detail/texture.
- ddeokbokki 8y agoBrb, going to train a GAN with all my selfies so it can generate new selfies.
- donaldknuth123 8y ago>like making better games with more NPCs who can really talk Are no Animation companies or Game Devs trying that out? Seems like a fairly obvious use case but maybe they don't have the "expertise".
- gwern 8y agoThings do get applied. If you want applications of GANs to better games, did you notice the past few weeks discussion of using ESRGAN & other superresolution GANs to upscale artwork of old games to make them far prettier and highres?
- gambler 8y agoI was thinking more along the lines of an RPG with generated town population. Indie devs usually don't have resources to draw hundreds of portraits and record tends of hours of dialog, but if they could use ML to generate portraits and synthesize decent speech, it would allow them to create much bigger, more immersive worlds. Also, this stuff could be used to take a hand-drawn portrait and animate it with different expressions without rework.
- 8y ago
- AnonC 8y agoThis will soon get good enough to be indistinguishable from real faces. What's more, there will be collisions with real faces too, which could be amusing or disturbing when it triggers a conflict.
- pexaizix 8y agoThis would be so much cooler and useful if you could generate several pictures of the same person in different angles/lighting.
- bogomipz 8y agoI apologize if this is a silly question but could someone provides some context for what this site is a demonstration of?
- justanothersys 8y agoThese people all definitely exist. The algorithm is breaking up photographs of real faces and recombining them. It’s portrait soup.
- galazzah 8y agoI wonder why it doesn't generate any people with African features
- bacondude3 8y agoIt does, I got this image: https://i.imgur.com/oSh8DsS.jpg https://i.imgur.com/oSh8DsS.jpg
- Lysander6 8y agoIt does, albeit rarely
- sowbug 8y agoI got numerous.
- misterprime 8y agoI got one after about 15 tries. Also a person with Indian features and Hispanic features.
- Balgair 8y agoHmm, it does babies and infants too. I was not expecting that. Other commentators mention that Ashley Madison, stock-photo companies, and other spammers will take this and run with it. Honestly, I suspect that has already happened for a while now and may explain the issues that FB and Twitter are having [0]. Though I can't find the thread, there was a discussion here on HN a while back about the 'Inversion' issue. Briefly, Youtube uses some ML and RNN stuff to help determine spammers vs. real-people (after pre-processing and cleaning things up a fair bit). However, if the number of spammers becomes too high, such that the spammers that DO make it through the various filters become over 51%, then the filters will 'Invert'. Meaning that the MLs and RNNs will start to classify the spammers as 'real' and the real-people will likely be told they are spammers. I can imagine that this site will quickly exacerbate that issue. Honestly, in reading Cal Newport's new book [1], I can't say I'm all that sad about it. The 'casino' like design of the modern web is obviously bad for us. In moderation, yes, but to the level we are at currently? Not a chance. Driving users away from these sites and devices isn't a bad thing for anyone that isn't earning a paycheck via the FAANGs. Hopefully this kind of tech will cause a bit of a restructuring of the modern web in the long haul. I doubt it, but one can hope. [0] Not that Jack can even properly use twitter to begin with: https://danluu.com/karajack/ https://danluu.com/karajack/ [1] http://calnewport.com/blog/ http://calnewport.com/blog/
- godelski 8y agoSome of these have really odd and interesting errors https://imgur.com/a/oFBqRws https://imgur.com/a/oFBqRws
- klenwell 8y agoThat last one is funny. Basically: expect anyone photographed at this angle to be wearing one of those TED-talk wireless microphone things usually. Rendered probabilistically?
- nakedrobot2 8y agoIf you reload this page enough, you will eventually find your own face. And then things start to get weird....
- tobyhinloopen 8y agoCan I upvote this twice?
- lucidrains 8y agoif we train a reverse encoder of the output of the GAN back to its own latent space, it's probably possible to find your face and mess with it.
- lucidrains 8y agoand it seems like someone already did it as of 9 hours ago https://www.reddit.com/r/MachineLearning/comments/aq6jxf/p_stylegan_encoder_from_real_images_to_latent/ https://www.reddit.com/r/MachineLearning/comments/aq6jxf/p_s...
- cheez 8y agoLuckily the dataset is photogenic people so no danger of that for me.
- lichenwarp 8y agoLuckily the dataset is attractive people so no danger of that for me.
- cheez 8y agothatsthejoke.jpg
- wonderwonder 8y agoI did not know what the site was and the very first image that loaded was very similar to Ross Ulbricht. With the name of the site I thought it was a page dedicated to him. Very odd.
- lucidrains 8y agoThanks for all the upvotes! Since I made this site, people have already started to train on datasets beyond just real faces. Turns out it can disentangle pretty much any set of data. Gwern has applied this to anime dataset https://twitter.com/gwern/status/1095131651246575616 https://twitter.com/gwern/status/1095131651246575616 Cyril at Google has applied it to artwork https://twitter.com/kikko_fr/status/1094685986691399681 https://twitter.com/kikko_fr/status/1094685986691399681 This was to raise awareness for what a talented group of researchers made at Nvidia over the course of 2 years, the latest state of the art for GANs. https://arxiv.org/pdf/1812.04948.pdf https://arxiv.org/pdf/1812.04948.pdf (https://github.com/NVlabs/stylegan https://github.com/NVlabs/stylegan) Rani Horev wrote up a nice description of the architecture here. https://www.lyrn.ai/2018/12/26/a-style-based-generator-architecture-for-generative-adversarial-networks/ https://www.lyrn.ai/2018/12/26/a-style-based-generator-archi... Feel free to experiment with the generations yourself at a colab I made https://colab.research.google.com/drive/1IC0g2oDQenrDmwbtkKoNQsWpjwBcncL8 https://colab.research.google.com/drive/1IC0g2oDQenrDmwbtkKo... I'm currently working on a project to map BERT embeddings of text descriptions of the faces directly to the latent space embedding (which is just a 512 dimensional vector). The goal is to control the image generation with sentences, once the mapping network is trained. Will definitely post on hacker news again if that succeeds. The future is now!
- x3tm 8y agoCool page, and great job. > Turns out it can disentangle pretty much any set of data. All the example I have seen (including your links) are variants of face generation algorithms. Any ideas on how this could be useful beyond image generation in some style? Specifically for (data) science? Sorry if this is a naive question. Edit: By "variants of face generation algorithms" I mean any image generation really.
- lucidrains 8y agono not naive at all. this method isn't specific for just extracting features from faces. it can disentangles features from any kind of images. in fact, the next dataset i might train on is on flowers (or birds) https://twitter.com/hardmaru/status/1095639937842638849 https://twitter.com/hardmaru/status/1095639937842638849
- rezeroed 8y agoFound one with a microphone embedded in their cheek. Another with half a pair of glasses embedded in an eye socket.
- JohnBooty 8y agoPeople keep saying this'd be great for fake profile photos, but seems to me that's not realistic yet, at least not as demonstrated here. A social media profile with a single picture is pretty suspicious. To be convincing you'd need a steady stream of pictures of the "same" fictitious person, doing typical social media thing -- selfies with friends, vacation pics, appearances in other peoples' pictures, etc.
- amrrs 8y agoNot necessarily, If you're talking about platforms like LinkedIn where people hardly change their profile pic.
- egypturnash 8y agoI almost never post selfies. They're pretty rare among most of the people I follow, too. Some people like being in front of the camera, some don't.
- kowdermeister 8y agoIn the right context you'd have no reason to doubt some of the good ones from this set is a real person.
- meuk 8y agoAbsolutely awesome! Some faces seem to have some weird horizontal asymmetry, though (I'm not saying that people are perfectly symmetric, but in these pictures the two halves of the face seem to belong to different people).
- throwitaway6512 8y agoFor all of these “this is a simulated face”-claims I wish they would show the 2-3 most similar faces in their training set. For all you know, it could just be spitting out a random training image. How would you know the difference?
- lucidrains 8y agoyou can download the training set here https://github.com/NVlabs/stylegan#resources https://github.com/NVlabs/stylegan#resources it's based on 70k high resolution flickr images. try interpolation on the colab link above so you can be convinced its capturing the features rather than just memorizing
- deleted 8y ago[deleted]
- exit 8y agotake a look at "Figure 8" from the original paper: https://imgur.com/a/rZsWzDa https://imgur.com/a/rZsWzDa we can smoothly interpolate between faces, so it seems impossible to me that these are just memorised from the training set
- misterdoubt 8y agoI just realized that the eyes, nose, and mouth are always in the same place in these images... even though the head might rotate around them.
- gwern 8y agoThat might be because they cleaned the dataset thoroughly. I vaguely recall there was something about 'facial landmarks' and alignment in the ProGAN work which was presumably carried over to StyleGAN. Doubtless helps the final quality. However, aligned faces are definitely not required - I didn't do any kind of alignment for my anime faces and you can see the eyes/nose/mouth in all sorts of positions in the samples & videos.
- RcouF1uZ4gsC 8y agoOne thing I think I noticed is that the children's faces have older looking skin than would be expected.
- rubyn00bie 8y agoNote: I'm not trying to be an ass, or start a fight, I'm literally just asking... Does it only generate white people? I've been refreshing for a while but don't see any people of color. Edit: No, I finally got someone who wasn't white, it just seems to have a helluva bias.
- nbar1 8y agoSecond one I got was an Indian man.
- czr 8y agoThe dataset is compiled from flickr portraits, and the model was trained to generate sampels from that distribution, so there will definitely be bias towards the sort of people whose portraits end up on flickr. Per the paper: >The images were crawled from Flickr (thus inheriting all the biases of that website) and automatically aligned and cropped. Only images under permissive licenses were collected. Various automatic filters were used to prune the set, and finally Mechanical Turk allowed us to remove the occasional statues, paintings, or photos of photos. It's still much more diverse than previous datasets (which used U.S. celebrity photos), but would require some additional work to match the actual world population distribution.
- hyperpape 8y agoReally cool stuff, but aside from the obvious nightmare fuel stuff downthread, there's often still some interesting artifacts. I doubt I'd have noticed them before reading a medium piece on the subject, but they are there: https://medium.com/@kcimc/how-to-recognize-fake-ai-generated-images-4d1f6f9a2842 https://medium.com/@kcimc/how-to-recognize-fake-ai-generated....
- rthomas6 8y agoRelated: the technology behind this has a harder time with cats than it does people, and the results are hilarious: http://aiweirdness.com/post/182633984547/gancats http://aiweirdness.com/post/182633984547/gancats
- deleted 8y ago[deleted]
- arthurcolle 8y agoThis guy wants to sell me a SaaS https://imgur.com/a/pTOZto4 https://imgur.com/a/pTOZto4
- dwyerm 8y agoThe heterochromia and slit pupils are really what sell me on the product...
- arianvanp 8y agoEars always give it away. In every single picture I got so far the ears are malformed.
- jagger27 8y agoI've had a small (nerdy) dream of converting current generation Pokemon sprites into older palette and size constrained sprites using techniques similar to this. Anyone have any suggestions on how I might start?
- egypturnash 8y agoThis image generator does not understand the concept of earrings. Or stretched earlobes with plugs in them. Now and then I get a person who has these weird jewel-sores on their cheeks. Kinda nifty.
- atedfakersuit 8y agoVery interesting. I'm sure this technology will get better. It's in its infancy. But what's "off" to me about these pictures are the eyes, every single picture. I don't get that feeling of human connection. In some of the pictures, the "person" has two different eyes. In some others, the eyes just make me feel sick to my stomach if I look at them. They're "off" at best and super creepy at worst. That being said, as others have pointed out, in profile pic size I'm sure I couldn't tell.
- aarong11 8y agoIt's the uncanny valley in action! About 80% of these faces look a bit off to me but some of the others I find really hard to tell it's a fake.
- ur-whale 8y agoEither his GANN hasn't figured out that people's front teeth are usually symmetrically identical or I only know people with good dentists.
- azr79 8y agothis is quite disturbing: https://imgur.com/JkBte93 https://imgur.com/JkBte93
- cjohansson 8y agoIf a generated ”random” person happen to be identical with a real person then you must say the person exist. It’s very likely that some images describe real people and therefore the domain name makes no sense. Like if a process happened to generate a real equation it’s not the case that the equation doesn’t exist.
- anm89 8y agoInteresting to imagine this as an npc generator in a vr video game. I could imagine that feeling pretty lifelike
- lurquer 8y agoThe teeth seem to be the give-away. There seems to be a bias of having the two top front incisors facing the camera, even when the head is turned.
- J5892 8y agoGlasses seem to do weird things, especially if they're frameless.
- synaesthesisx 8y agoNot to go all Black-Mirror here, but imagine training a model based on individualized user preferences to generate some sort of idyllic "person", leveraged for surreptitious advertising. For instance, analyzing what kind of Instagram models one engages with regularly and using that data to generate individualized "influencers". Just a thought :)
- moate 8y agoI feel like there's probably already a department at Alphabet working on this.
- p1necone 8y agoThis is literally the first AI image processing project I've seen posted here that actually shows high resolution images. Every single other one I've seen has a bunch of tiny low res thumbnails on a github page that serve to completely obscure any potential artifacts or issues with the system. (I could clone their code and run it, but that's not the output that any of the discussion they've prompted is operating on, and that's kind of the point of hacker news). So thanks for doing the bare minimum for an image processing project, finally.
- rspeer 8y agoMost of the projects you're thinking of probably never even generated high-resolution images. Until recently, the actual output layer for most of these systems would be something like a 256x256 array of pixels.
- gnulinux 8y agoBare minimum, how come? Most standardized image processing datasets have very low resolution images.
- p1necone 8y agoYes, my point is that that is not good enough. Two problems that I can see: 1. What use cases are there for a photo processing algorithm that only spits out tiny thumbnails? 2. If it can output higher resolution images, why are all of the examples tiny thumbnails? You can hide a lot of otherwise obvious flaws with a tiny thumbnail.
- PeterisP 8y agoBecause of computing power issues - training a good model with a significantly higher resolution becomes a lot more expensive. If you're doing a proof of concept or analyzing algorithms, you stick to lower resolutions; at larger resolutions the algorithm (and its effects) are the same, but you just need ten or hundred or thousand times more hardware and/or time.
- mkane848 8y agoMost of them are CLOSE but still pretty Uncanny Valley, then there's https://i.imgur.com/A2ThWBE.jpg https://i.imgur.com/A2ThWBE.jpg which was...shocking to say the least. Crazy how far this stuff has come though, and how many more applications it has. Also interesting how the oddities of the images look a lot like how some of the visual effects of psychedelics manifest. Hair blending into an ear, the lines around the eyes trailing off, the "hairiness" of some of them, and of course the nightmare fuel I linked above.
- miguelmota 8y agoThere's at least one doppelganger that looks exactly like you in the world. It's interesting to think that some of these GAN rendered images of people could actually be people that exist in the real world.
- ElijahLynn 8y agoCould be improved by "This person does not exist... and never has before." Some might just think they are deceased with the current title.
- gnicholas 8y agoYeah, clearly. It showed me a boy with widespread stubble.
- Nevermark 8y agoWell there goes the Image Turing Test....
- zahreeley 8y agoProvide the link to this person’s profile. Facebook, Linkedin etc if possible so we all can learn more about them. Their work. What are we going to do with the image?
- chdaniel 8y agoSpent some good minutes on this. Scary as hell. Thx for sharing it
- danans 8y agoAs this stuff gets better and better, I wonder if it will actually increase our distrust in digital imagery and in doing so, increase the demand for in person interaction, at least in matters of consequence. Either that, or digital communication will have to include defensive fake detection features, and the rest of that thought is a Philip K Dick novel ;)
- minikites 8y agoPhotos have been faked since the beginning of photography. Mathew Brady (famous for photographing the American Civil War) moved dead bodies to stage shots, had live soldiers lie down and pretend to be dead, etc.
- indigodaddy 8y agoI got the same exact face twice, so what's the deal? Is this not real-time generation and just grabbed from some pre-generated face database?
- Adamantcheese 8y agoSo how long before we have a dataset to say if an image was generated or not?
- b_tterc_p 8y agoHmm. You could take a subset of photos, label them on attractiveness, figure out the vector for your personal sense of human aesthetic, and then generate pictures of people that you specifically find beautiful. Sounds like a good business idea for... uh... ads. (Or a service that makes you prettier in social media photos. Yay dystopia!)
- ropable 8y agoThis looks like it will be extremely useful for people generating plausible-looking Twitter sock puppet accounts.
- redleggedfrog 8y agoI only looked at a few. I was afraid I was going to see a woman and have love at first sight and be forever heartbroken.
- xrd 8y agoIs there any service that let's you pay to play with GANs? I have some art projects but don't want to go through the trouble of setting it all up. Certainly someone would rent me their GPUs?
- elliottcarlson 8y agoAWS has GPU instances - https://docs.aws.amazon.com/dlami/latest/devguide/gpu.html https://docs.aws.amazon.com/dlami/latest/devguide/gpu.html
- xrd 8y agoSo does Google with collab, right? I could use those but was hoping for something more turnkey.
- jackthetab 8y agoUh, somebody want to explain this to us riff-raff? All I see is a web page that generates faces. No menus, no "About", nada. WTF is going on?
- westmeal 8y agoSimultaneously the coolest and most frightening thing I've seen. Good work.
- oxguy3 8y agoSeriously, these photos are really creeping me out. They've _almost_ escaped uncanny valley but the little details (wonky ears, unnatural hair, weird artifacts) make them super creepy. The worst I've gotten is this guy: https://imgur.com/A2SsmVn https://imgur.com/A2SsmVn. He's mostly normal but some glitch (presumably a partial pair of glasses) makes it look like his robot face mask is coming unpeeled. Extremely unsettling. EDIT: Holy crap, I might have found one worse. This woman is smiling away as her mutated hand stabs a piece of glass into her face and I am so uncomfortable: https://imgur.com/z6UKVWn https://imgur.com/z6UKVWn
- gotocake 8y agoThat second one is terrifying! Did someone feed the system thalidomide and PCP or what? Some of them though, if I didn’t know I was looking for flaws, I would probably never think twice about them being humans.
- edgartaor 8y agoMore creepy photos: https://old.reddit.com/r/SyntheticNightmares/ https://old.reddit.com/r/SyntheticNightmares/
- tdsamardzhiev 8y agoWhen there's another person on the side, their face is really messed up for some reason.
- Nanocurrency 8y agoPlease add a way to share a generated face.
- Nanocurrency 8y agoWhy doesn't this show up on the main page? It has 696 upvotes in 18 hours! It's not on the main page, it's not on Show HN.
- Nevada-Smith 8y agoWould this work with ASCII-art faces?
- MartinHatch 8y agoAwesome job. any chance of adding a filter for Gender or Age? e.g. https://thispersondoesnotexist.com/?$gender=Male&MinAge=30&MaxAge=35 https://thispersondoesnotexist.com/?$gender=Male&MinAge=30&M...
- nickmc01 8y agoThis is the best one lol: https://imgur.com/a/XGcNSoQ https://imgur.com/a/XGcNSoQ
- nickmc01 8y agoThis is the best lol: https://imgur.com/a/XGcNSoQ https://imgur.com/a/XGcNSoQ
- marcuswelpus 8y agoWouldn’t it be possible to add a real human feedback on each face presented on thisisnotaperson.com, in the form of a simple button « Fake » « Not fake » that would help the disciminator in its analysis with thousands of inputs?
- gwern 8y agoI used my anime face StyleGAN to make a similar website: http://www.thiswaifudoesnotexist.net/index.html http://www.thiswaifudoesnotexist.net/index.html
- ofoegbu 8y agoI have got a clone of the original site.. check it out https://thispersondoesnotexist.scholarguider.com https://thispersondoesnotexist.scholarguider.com