Fast Style Transfer

AI

neural style transfer

SHOW HN2016

184points
20comments
#155of 2,264 in 2016
Top 7%of 2016 by points

How HN took it

CuriousMostly questions and neutral comments

3 positive, 6 neutral or asking, 2 mixed, 1 critical, out of 12 comments about the project. Thread score +0.17.

Execution: 2 for, 0 againstIdea: 1 for, 1 against

The thread, comment by comment

Each row is a top-level comment and its replies, in HN's order. Select a cell to open that comment on HN.

positive neutral or mixed critical about another commenter or something else the maker

What HN said

What people liked

  • Impressive results and fast stylization

    From 3 comments
    • This is ridiculously cool.
      rubyfan on HN
    • Results look pretty nice. Congrats!
      visarga on HN
    • Terminology note: there is a difference between Style Transfer and Fast Style Transfer. Fast Style Transfer takes a very long time to train a style model (and the output models…
      minimaxir on HN
  • Easier setup than Torch/Lua implementations

    From 1 comment
    • Terminology note: there is a difference between Style Transfer and Fast Style Transfer. Fast Style Transfer takes a very long time to train a style model (and the output models…
      minimaxir on HN

Objections

  • Checkerboard artifacts in output

    From 1 comment
    • Nice work! Have you seen this - could help reduce some of those checkerboard artifacts http://distill.pub/2016/deconv-checkerboard/
      dharma1 on HN
  • Larger images produce repeated patterns

    From 1 comment
    • Playing around with the tool a bit, supersampling seems to work pretty well to avoid those artifacts. (Thanks to the speed of Fast Style Transfer, this is feasible.) EDIT:…
      minimaxir on HN

Requests

  • Localised brush-based style application

    From 1 comment
    • It would be nice if this algorithm could be created in a more localised form, so that you could take a photo and apply the effect with different intensities as if you were using…
      lhnz on HN

Questions

  • Can style be amplified beyond the original?

    From 1 comment
    • So you can transfer style from image A to image B. What I want to know is, can you use style transfer to "amplify" image A's style to, say, 500%?
      pizza on HN
  • How does it compare with other fast style transfer methods?

    From 1 comment
    • Nice work. I'd be curious how this technique compares with other fast style transfer methods, if any exist.
      spacehacker on HN

Alternatives named

  • Neural Doodle

    From 2 comments
    • It has been done with manual segmentation [1]. And the results are mind blowing. There also a lot of work done on segmentation with neural nets [2, 3], so I wouldn't be surprised…
      ebalit on HN
    • As I mentioned in another thread, there is some work on this: https://github.com/alexjc/neural-doodle
      ebalit on HN
  • Google TensorFlow style transfer implementation

    From 2 comments
    • Relevant Tensorflow/Brain blog post: https://research.googleblog.com/2016/10/supercharging-style-transfer.html
      eitally on HN
    • Terminology note: there is a difference between Style Transfer and Fast Style Transfer. Fast Style Transfer takes a very long time to train a style model (and the output models…
      minimaxir on HN

Category, keywords, summaries and labels on this page were made by AI (Thread Reader v2) and not checked by hand. Each point links to the comments it came from.

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