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citnaj's profile
Jason Antic
Jason Antic
Jason Antic
@citnaj

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Jason Antic

@citnaj

Obsessively pursuing the perfection of image and video colorization/restoration using deep learning. Creator of DeOldify.

Ocean Beach, San Diego
deoldify.ai
Joined January 2010

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    1. Jason Antic‏ @citnaj Aug 17
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      1/ To hopefully reduce the need for emails on this in the future: Yes, we 100% cherry pick results to post colorizations on Twitter from DeOldify. Furthermore, the research models we have often produce great cherry picked results but aren't reliable enough for general use.

      2 replies 2 retweets 28 likes
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    2. Jason Antic‏ @citnaj Aug 17
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      2/ Quite frankly it has been much easier to produce a model that is capable of creating stunning cherry picked examples than one that reliable produces good examples! That might sound counterintuitive but that's the nature of the beast.

      4 replies 1 retweet 25 likes
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      Jason Antic‏ @citnaj Aug 17
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      3/ Out of dealing with this, I've definitely emerged with the mindset that I strongly favor "human in the loop" approaches to "AI art". And there's that last 5% that will probably take 95% of the effort to close the gap on just in terms of "ground truth".

      10:51 AM - 17 Aug 2020
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      • Samson Tan Allan Jackson Old Ireland in Colour Rosalie Rothner Rekil Prashanth Sarim Zafar Kiran Vaidhya Nathan Shipley vfx.ai
      6 replies 2 retweets 33 likes
        1. thehardme‏ @thehardmenpath Aug 17
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          Replying to @citnaj

          That has been my approach from the beginning. Will we ever have a button that diee it all automatically? Maybe. Until then, there has to be work and art in the mix.

          0 replies 0 retweets 1 like
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        2. mauricio caballero‏ @capimx Aug 17
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          Replying to @citnaj

          Could you share any examples of went-wrongs?

          2 replies 0 retweets 0 likes
        3. Jason Antic‏ @citnaj Aug 17
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          Replying to @capimx

          Sure. I have this model I'm developing currently that I really like but it still has remaining issues, particularly with what we like to term "flare"- where it gets these red blotches. Examples:pic.twitter.com/yLyybawXZy

          0 replies 1 retweet 2 likes
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        2. Nick Papoulias‏ @npapoylias Aug 17
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          Replying to @citnaj

          This feedback coming from practitioners of in-production AI systems is invaluable. Do you consider this 5% deep technical work (requiring highly trained individuals) ? Is it creative ? Do you expect it to be automated in the future ? I am asking with the "future of work" in mind.

          3 replies 0 retweets 0 likes
        3. Jason Antic‏ @citnaj Aug 17
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          Replying to @npapoylias

          Perspective: It took 6 weeks to create something that produced cherry pickable results that went viral back in late 2018. This is the first article I saw pop up after I put the code up that made me go "oh shit": https://boingboing.net/2018/11/02/reverse-entropy.html … .

          0 replies 0 retweets 2 likes
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        1. Sarim Zafar‏ @1Sarim Aug 17
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          Replying to @citnaj

          This reminds of richard zhang's proposed approach where he outputs a set of top color given a point in the image and the human can iteratively improve the colorization process. Maybe adding that kind of feedback loop through a intuitive interface might just do the trick.

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        1. Patrick Neil‏ @pat_loonytoon Aug 17
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          Replying to @citnaj

          This is pretty true of other colorization and up-scaling models as well. Generally AI, like combining with Remini for faces, will give a good start. It may be a ways off before methods will be 98% accurate with object recognition and colorization.pic.twitter.com/ie5m00WnA6

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        1. Samson Tan‏ @samsontmr Aug 17
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          Replying to @citnaj

          In visual effects we used to say that the final 20% of work on a shot takes 80% of the time 🤣

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