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jcjohnson/neural-style

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Torch implementation of neural style algorithm

21 mentions on Hacker News by 20 people: 4 stories, 17 comments · first 2015-09-02 · latest 2017-11-24

Mentions per year 21 mentions · busiest year 2016 (13)
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  1. …point of view they're dull. And these examples aren't anywhere near as good as those found here: https://github.com/jcjohnson/neural-style for example. Perhaps someone can use this technique as a starting off point for creating something…
  2. ▲ 2
    Open-Source Neural Net Style Transfer
    story by jlturner · 2017-07-18 · 0 comments
  3. …something. I remember being completely blown away by "A Neural Algorithm of Artistic Style" (e.g. https://github.com/jcjohnson/neural-style ). I've always thought of creativity as a process which can't (yet) be described in terms of…
    comment by olalonde · 2017-04-14 · in Teaching Machines to Draw
  4. …https://github.com/luanfujun/deep-photo-styletransfer/issues... ________________ similar project https://github.com/jcjohnson/neural-style
    comment by gtani · 2017-03-27 · in Deep Photo Style Transfer
  5. …style blending is also not new; I did it more than a year ago using optimization-based method: https://github.com/jcjohnson/neural-style#multiple-style-ima... The novelty of this work is a clever way for training a single network that can…
    comment by jcjohns · 2016-10-26 · in Supercharging Style Transfer
  6. …thing having eyes everywhere. Can you show me an example? I'm thinking of something like this: https://github.com/jcjohnson/neural-style though I think there was a webapp to upload your own and try it out that I couldn't find now...
  7. …on the article! Eagerly waiting for Android version! There is also one open-source lib like this https://github.com/jcjohnson/neural-style
    comment by kirtant · 2016-07-10 · in Prisma: neural-style instagram filters
  8. Combining one of these nudity trained classifiers with a project like neural-style ( https://github.com/jcjohnson/neural-style ) could create some serious mischief.
  9. I played with something similar for a while, https://github.com/jcjohnson/neural-style What I've found so far is that it takes a while to get good results like something that looks like its own creation instead of an overlap of pictures.…
  10. From another comment: https://github.com/jcjohnson/neural-style
    comment by quickquicker · 2016-03-01 · in Pictures combined using Neural networks
  11. Here's the backend it's based on: https://github.com/jcjohnson/neural-style and the paper: http://arxiv.org/pdf/1508.06576v2.pdf
    comment by narrator · 2016-02-29 · in Pictures combined using Neural networks
  12. Is this the same code/algorithm as: https://github.com/jcjohnson/neural-style ?
  13. …of it, though looking through the code suggests the actual algorithm implementation is based on https://github.com/jcjohnson/neural-style
    comment by andreyk · 2016-02-28 · in Combining images using Neural Networks
  14. The easiest way is... https://deepart.io/ . Open source: https://github.com/jcjohnson/neural-style (not sure if exactly this one, there are a few implementations).
    comment by stared · 2016-02-06 · in Visual Turing Test
  15. Is it using this algorithm? https://github.com/jcjohnson/neural-style
    comment by meric · 2016-01-29 · in Pikazo
  16. ▲ 21
    A Neural Algorithm of Artistic Style
    story by tambourine_man · 2016-01-08 · 6 comments
  17. Something like https://github.com/jcjohnson/neural-style which applies the style from one image to another.
  18. …someone has made a public implementation, using the same source material as the linked site: https://github.com/jcjohnson/neural-style
  19. ▲ 3
    Torch implementation of neural style algorithm
    story by spountzy · 2015-09-07 · 0 comments
  20. Might want to take a look at: https://github.com/jcjohnson/neural-style/issues/7 Oh, and since you're basically using this commercially you might also want to take a look at the license of the VGG model:…
  21. ▲ 95
    A Neural Algorithm of Artistic Style
    story by Russell91 · 2015-09-02 · 17 comments