A Neural Algorithm of Artistic Style

> In September 2019 this must have been a GAN face. Well, yes,¹ but actually no. StyleGAN1's public release was February 2019, and it's capable of far more than just faces. > Three years ago there was nothing remotely as impressive as modern GPT style I predicted that! Albeit…

wizzwizz4Apr 29, 2023View on HNParent context

A lot depends on what you're interested in. Some papers that are runnable on a laptop CPU (so long as you stick to small image sizes/tasks): 1) Generative Adversarial Networks (https://arxiv.org/abs/1406.2661). Good practice to have a custom training loops, different optimisers…

phonebucketJan 24, 2023View on HNParent context

That is one of the two concerns. The other concern, is that will be a paid product. It's users decide to pay or not, based on the quality of the code suggestions. The quality of the code suggestions are tied to the quality of the training corpus. The manufacturer of the product…

belterJun 24, 2022View on HNParent context

> I really don't see how machines could distill the ideas out of a text and reinterpret them in a nice way. Well, machines are already doing it with paintings: https://arxiv.org/pdf/1508.06576v2.pdf. There's no technical reason for not being able to achieve this sort of 'machine…

bpizziJul 31, 2018View on HNParent context

Ah okay right this is the answer. Previous approaches [1] are deep generative models that you have to optimize for each input, whereas here you run just a forward evaluation on a model that you've trained beforehand. I would still argue the term closed-form is misleading here…

dbranesFeb 21, 2018View on HNParent context

Absolutely you can do 'AI Research' without a degree in maths. Sure you need a grounding in linear algebra, stats, probability and calculus, but not much more than a CS or physics degree will teach you. That stuff is indeed learned easily, and it's not what the Reddit user is…

joshvmNov 12, 2017View on HNParent context

Ahh I see, these are some resources that should help you. The original Neural Style Transfer paper should help you understand the loss functions involved: https://arxiv.org/abs/1508.06576 The paper introducing Real-Time Style Transfer is basically the algorithm used here…

reiinakanoOct 2, 2017View on HNParent context

> If you succed in manufacturing a stigma against arXiv papers That's not exactly my intention, and your statement goes in line with what I said.. > sure I've cited software in the past, and having an article to go with it is even better where "software" could also include blog…

radarsat1May 26, 2017View on HNParent context

I guess you already have read about Prisma App. Here is the research paper it is based on.. -> https://arxiv.org/pdf/1508.06576.pdf

haloboy777Mar 31, 2017View on HNParent context

Hi savanaly, When we talk about "what makes Bach sound like Bach," the technical concept we have in mind is the recent work in computer vision on style transfer. For example, https://arxiv.org/abs/1508.06576 We are excited to work on adapting these models to the musical domain!…

jthickstunDec 5, 2016View on HNParent context

Maybe this?: https://www.youtube.com/watch?v=Rfhxy2w3Qi4 Using a gram matrix across several layers to hold the style, and more conventional activation optimization for the content. Trained on VGG. It combines the two loss functions of style and content to optimise noise towards…

n17r4mOct 14, 2016View on HNParent context

I wonder whether they used neural style transfer to automatically generate them. https://arxiv.org/pdf/1508.06576.pdf (See p. 5 for examples.)

AlexCoventryOct 7, 2016View on HNParent context

They say they use a variation on the neural art transfer algorithm: "We apply an algorithm developed by Leon Gatys, Alexander Ecker and Matthias Bethge. " https://deepart.io/page/about/ https://arxiv.org/abs/1508.06576 There are various tweaks for how to do it and some hacks to…

andreykSep 1, 2016View on HNParent context

The demo uses WebGL, and if you can't get the demo to work, you can here(https://github.com/Erkaman/regl-cnn) find a recorded gif that shows what it is supposed to look like. This demo does handwritten digit recognition by evaluating a Convolutional Neural Network on the GPU…

erkamanAug 17, 2016View on HNParent context

The demo uses WebGL, and if you can't get the demo to work, you can here(https://github.com/Erkaman/regl-cnn) find a recorded gif that shows what it is supposed to look like. This demo does handwritten digit recognition by evaluating a Convolutional Neural Network on the GPU…

erkamanAug 17, 2016View on HNParent context

Take a look at these: * Combining Markov Random Fields and Convolutional Neural Networks for Image Synthesis (http://arxiv.org/abs/1601.04589) * A Neural Algorithm of Artistic Style (http://arxiv.org/abs/1508.06576) They do much more than photoshopping. It's actual synthesis of…

visargaApr 8, 2016View on HNParent context

According to their about page, that site is using this algorithm http://arxiv.org/pdf/1508.06576.pdf whereas neural-image-analogies is a combination of http://www.mrl.nyu.edu/projects/image-analogies/index.html and http://arxiv.org/pdf/1601.04589v1.pdf Basically you can do a few…

awentzonlineMar 11, 2016View on HNParent context

Here's the backend it's based on: https://github.com/jcjohnson/neural-style and the paper: http://arxiv.org/pdf/1508.06576v2.pdf

narratorFeb 29, 2016View on HNParent context

Original paper this is based on http://arxiv.org/abs/1508.06576 Neat to see a web application implementation of it, though looking through the code suggests the actual algorithm implementation is based on https://github.com/jcjohnson/neural-style

andreykFeb 28, 2016View on HNParent context

Note that all of the computer generated pieces were created by this impressive deep net algorithm (paper prepublished in 8/2015): http://arxiv.org/abs/1508.06576 Somehow I cannot believe how fast they got the idea to create profit from it: http://deepart.io/

DanielleMolloyFeb 6, 2016View on HNParent context

One weird trick for parallelizing ConvNets: http://arxiv.org/abs/1404.5997 Unsupervised Representation Learning with Deep Convolutional Generative Adversarial Networks: http://arxiv.org/abs/1511.06434 A Neural Network of Artistic Style: http://arxiv.org/abs/1508.06576

temuzeDec 23, 2015View on HNParent context

Not really sure why this page made it to HN. This group's most interesting work was the paper that outlines "style transfer"[1], which is what all those photos-painted-in-the-style-of-van-gogh-etc pictures[2] that went around a few months ago were using. [1]…

nlNov 25, 2015View on HNParent context

This article has a clickbait headline and no technical details. Here's the actual (pre-print) paper on this technique: http://arxiv.org/abs/1508.06576

panicSep 6, 2015View on HNParent context

More Information can be found here: https://www.youtube.com/watch?v=-R9bJGNHltQ&feature=youtu.be The paper is here: http://arxiv.org/abs/1508.06576v1

VozzeSep 4, 2015View on HNParent context

A Neural Algorithm of Artistic Style by Leon A. Gatys, Alexander S. Ecker, Matthias Bethge http://arxiv.org/abs/1508.06576

deepnetSep 3, 2015View on HNParent context

Paper: http://arxiv.org/abs/1508.06576 Related discussion on the paper: https://news.ycombinator.com/item?id=10141516 Additional example: http://imgur.com/a/jeJB6

myth_busterAug 31, 2015View on HNParent context

URLs Examples [0]: https://i.imgur.com/sb8dHcY.png [1]: http://imgur.com/a/jeJB6 Paper: http://arxiv.org/abs/1508.06576 Related discussion on the paper: https://news.ycombinator.com/item?id=10141516

myth_busterAug 31, 2015View on HNParent context

http://arxiv.org/abs/1508.06576 [non - pdf] Here we introduce an artificial system based on a Deep Neural Network that creates artistic images of high perceptual quality. The system uses neural representations to separate and recombine content and style of arbitrary images…

deepnetAug 29, 2015View on HNParent context