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Imaginary worlds dreamed by BigGAN
- deleted 8y ago[deleted]
- minimaxir 8y agoYou can now demo BigGAN in an official Colaboratory notebook (backed by a GPU) to create your own AI-generated nightmares: https://colab.research.google.com/github/tensorflow/hub/blob/master/examples/colab/biggan_generation_with_tf_hub.ipynb https://colab.research.google.com/github/tensorflow/hub/blob... Examples from the notebook by the article author: https://twitter.com/JanelleCShane/status/1062067001504321536 https://twitter.com/JanelleCShane/status/1062067001504321536
- saganus 8y agoCan someone explain to a layman what does the truncation parameter do?
- deleted 8y ago[deleted]
- Fr0styMatt88 8y agoMy understanding is that the 'truncation' parameter makes the output of BigGAN more closely resemble the training data set. Moving the truncation towards 0 will give you more realistic but less varied images, while moving it towards 1 will give you more varied but increasingly potentially nonsensical images.
- saganus 8y agoAha! That makes sense. Thanks!
- CommieBobDole 8y agoInteresting article, but the subject of the article (the amazing images) are only shown in tiny thumbnails, with no links to the full-size images. Seems to sort of defeat the purpose.
- drodgers 8y agoEven the largest images produced by the network are only 512px x 512px and most are smaller — adding more pixels to these kinds of networks is fairly expensive and not at all worth it if you're training thousands of them over and over again while doing research.
- hcs 8y agoThe full images are only 512x512.
- Nasrudith 8y agoThe train picture reminds me of some of my botched attempts at creating perspective by combing two differing horizon line sub-images into one. I suppose that sort of rendering abstraction is the same in terms of accidentally producing weirdness - even though different processes were used.
- mkagenius 8y agoWe should have a reverse image search built in image-net for someone doubting and trying to find similar images in imagenet . Like google's reverse image search.
- bufferoverflow 8y agoRIP stock photography. And possibly videography too.
- mkagenius 8y agoVery doubtful, the results just seem to be combination of existing background and existing artifacts (nose, ears, furs, etc) . The different poses you would get naturally is much more complicated and diverse than these networks seem to be generating. All in all these networks aren't generating anything new.
- visarga 8y agoThe images you saw in the article were hand picked to be weird. Most of them are photorealistic and are not copies of any training photo. If you think it's so easy, paint a photorealistic image in Photoshop by hand (no direct copying, but you can look at other images all you want) and let's see how it compares. Cropped a few more BigGAN samples for reference: https://imgur.com/a/GIQSo4I https://imgur.com/a/GIQSo4I Or how about ProGAN for faces? https://www.youtube.com/watch?v=36lE9tV9vm0 https://www.youtube.com/watch?v=36lE9tV9vm0 Does that look like a simple copy? It's a 'walk in the latent space' of faces. Also, take a look at this tool (TL-GAN) https://www.youtube.com/watch?v=O1by05eX424 https://www.youtube.com/watch?v=O1by05eX424 That comes with an online demo: https://www.kaggle.com/summitkwan/tl-gan-demo https://www.kaggle.com/summitkwan/tl-gan-demo
- mkagenius 8y ago> photorealistic image in Photoshop by hand If you are competing with a human, if not me I am sure a professional can easily better the best of best (and not just 512x512 pixels but 100 time more pixels) by this network. It has to catch up with humans by a long shot. > Cropped a few more BigGAN samples for reference: https://imgur.com/a/GIQSo4I https://imgur.com/a/GIQSo4I I don't know but to me all of the images you have in the imgur link seem non realistic. Head or torso or legs is messed up for (all?)most of them. > how about ProGAN for faces? https://www.youtube.com/watch?v=36lE9tV9vm0 https://www.youtube.com/watch?v=36lE9tV9vm0 Does that look like a simple copy? It's a 'walk in the latent space' of faces. No, I am not saying its a simple copy, the copy is great. The fact is that its a copy. An imperfect one. > Also, take a look at this tool (TL-GAN) https://www.youtube.com/watch?v=O1by05eX424 https://www.youtube.com/watch?v=O1by05eX424 Sure, human face comes in all shapes and sizes, so its tricky to judge the effectiveness since every modification is a possible real person.
- aportnoy 8y agoFunny how they mess with your brain: the illusion is that you are looking at something familiar. The texture is "easy" to look at, but the brain fails to recognize a known object.
- aquarin 8y agoOne day this will generate graphics in games. Imagine Doom with synthetic monsters controlled by you biggest fear.
- fooker 8y agoThis was a Black Mirror episode.
- therein 8y agoOr No Man's Sky with actually infinitely many unique planets.
- fapjacks 8y agoOr as I like to say, Skyrim with infinite content.
- pwaai 8y agoafter it gets used by the Adult film industry. We have millions of pornography to train BigGAN. on a side note: GAN means "FUCK" in mandarin.
- gear54rus 8y ago> Combine sugar and sugar and sprinkle with the sugar. Seems about right describing current food lol On a more serious note I wonder if our grand-grandchildren will look at these programs from blog posts and see them as some kind of "PRINT HELLO; GOTO 10" for AI, ancient artifacts showing the birth of a new paradigm of automation
- dieterrams 8y ago> Combine sugar and sugar and sprinkle with the sugar. What is this quote from?
- classichasclass 8y agoAn earlier entry from the same blog on generated recipes. My wife and I were laughing so hard at these we got some weird looks from the waiter. The use of asterisks is priceless in that one.
- gear54rus 8y agoStrangely enough, on mobile all those posts were melted into one big page so I didn't even realize it was not the one linked to.
- gear54rus 8y agohttp://aiweirdness.com/post/176589646292/its-time-for-cooking-with-neural-networks http://aiweirdness.com/post/176589646292/its-time-for-cookin... this apparently
- red75prime 8y agoThat's a look of purely holistic vision of the world, "collection of parts" is not included.
- beaconstudios 8y agosweet, a cursed image generator.
- LeicaLatte 8y agoHow machines hallucinate. https://twitter.com/quasimondo/status/1063449767617937410 https://twitter.com/quasimondo/status/1063449767617937410
- gear54rus 8y agoRead some other entries in that blog, recipes are something to look at: http://aiweirdness.com/post/176589646292/its-time-for-cooking-with-neural-networks http://aiweirdness.com/post/176589646292/its-time-for-cookin... More of the same: https://www.reddit.com/r/SubredditSimulator/ https://www.reddit.com/r/SubredditSimulator/
- minimaxir 8y agoSubredditSimulator uses Markov chains to generate text, not an neural network. I have made my own subreddit using the same RNN tool as that post: https://reddit.com/r/SubredditNN https://reddit.com/r/SubredditNN
- gear54rus 8y agohave you tried partnering with simulator so your posts are displayed there too? I imagine they would get more exposure and therefore better feedback