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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. Rachel Thomas‏ @math_rachel 29 May 2019
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      This article on GANs shares the super-resolution (with and without GANs) we covered in http://fast.ai  v3 https://journal.binarydistrict.com/why-the-danger-of-deepfakes-is-no-danger-at-all/ …pic.twitter.com/S0sFLOJDI3

      “I think that GANs have been overhyped, but that generative models (not necessarily adversarial) are very powerful,” Rachel says. “While we have been teaching GANs since early 2017 in our fast.ai course (which has been taken by over 200,000 students), we have more recently focused on other generative models that provide equally good results, only much faster. “For instance, in the most recent version of the course,
      4 replies 17 retweets 87 likes
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    2. Rachel Thomas‏ @math_rachel 29 May 2019
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      I should note I disagree with the headline. As a society, we are doing a poor job of addressing misinformation and how easily the major tech company platforms can be manipulated, and generative models can increase this danger. https://journal.binarydistrict.com/why-the-danger-of-deepfakes-is-no-danger-at-all/ …pic.twitter.com/H5NrS8ffUE

      “There are dangers from generative models (not specific to GANs, which are just one class of generative models) around disinformation,” Rachel says. “Keep in mind that disinformation is already a huge issue, even when using primitive tools like simple memes and Photoshop. Russia in particular has effectively used disinformation to meddle in the 2016 election, to sow divisiveness, and even fuel measles outbreaks by sp
      1 reply 0 retweets 17 likes
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    3. Rachel Thomas‏ @math_rachel 29 May 2019
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      I shared @citnaj's DeOldify work. You can read more detail about it in this post (including a more recent variation on GANs called NoGAN): https://www.fast.ai/2019/05/03/decrappify/ …pic.twitter.com/l0gzilmsuD

      “A downside to GANs is that they are brittle and slow to train. A fast.ai student, Jason Antic, has done some great work adding color to old photos in his project DeOldify: Black and white image on the left, with a colorized version on the right.
      1 reply 6 retweets 19 likes
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      Jason Antic‏ @citnaj 29 May 2019
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      Replying to @math_rachel

      Thanks Rachel!!

      8:55 AM - 29 May 2019
      • 3 Likes
      • 🎙Jean-Louis Queguiner Vitalie Eșanu tkasasagi🐻@バリキャリ熊
      0 replies 0 retweets 3 likes

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