colornet

AI

image colorization neural network

SHOW HN2016

219points
77comments
#117of 2,264 in 2016
Top 6%of 2016 by points

How HN took it

CuriousMostly questions and neutral comments

7 positive, 34 neutral or asking, 0 mixed, 6 critical, out of 47 comments about the project. Thread score +0.06.

Idea: 4 for, 1 againstExecution: 2 for, 2 againstPerformance: 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

  • Results look good and the colorized examples are impressive

    From 3 comments
    • I'm colorblind and I can't tell the difference between the prediction and the GT. My coworker says that they have slight differences in some colors. Congrats, you wrote the first…
      fmeyer on HN
    • The sky is blue, grass is green, trucks are red, and everything else is a shade of brown :-) pretty cool work!
      new_hackers on HN
    • I'd say the differences are very well expressed.
      rimantas on HN

Objections

  • Repository has no license, so code is not clearly reusable

    From 3 comments
    • The title says it's open source, but I couldn't actually see what the license is? (Maybe I missed it?)
      SyneRyder on HN
    • It is open source. You can see the source. The license is no-license, so you can (only) fork it. That way, people can clone from your username instead of the original author,…
      syockit on HN
    • In some countries, code is copyrighted by default unless the author specifies a different license or explicitly puts it into the public domain. Without a license (or asking the…
      SyneRyder on HN
  • Berkeley colorization model gives better results with a simpler architecture

    From 1 comment
    • These results: http://richzhang.github.io/colorization/ from Berkeley are much better than this model (and the code is open source as well). Furthermore, those better results…
      argonaut on HN

Requests

  • Instructions on how to run the model on your own images

    From 2 comments
    • Can we get some instructions on how to actually use this. I want to test it out on pictures from: https://www.reddit.com/r/OldSchoolCool/
      x5n1 on HN
    • Can I try this out in images myself somehow?
      mosselman on HN

Questions

  • How does it differ from the Berkeley colorization project?

    From 1 comment
    • Yes - how do those two projects differ in their approach ?
      liotier on HN
  • Does it color skin tones fairly across ethnicities?

    From 2 comments
    • Agreed. I wonder how good this model is at filling the skin tone of someone. It would be sad if (for example) it turned everybody into white people or something like that. In…
      gcr on HN
    • I'd be interested to see what kind of hidden biases this might reveal, especially about people, e.g. skin tone, eye color, etc.
      g_sch on HN

Alternatives named

  • Berkeley colorization project by Richard Zhang

    From 2 comments
    • These results: http://richzhang.github.io/colorization/ from Berkeley are much better than this model (and the code is open source as well). Furthermore, those better results…
      argonaut on HN
    • Are you thinking of this project instead? http://richzhang.github.io/colorization/
      astrosi 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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