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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. harish‏Verified account @harishpillay 10 Feb 2019
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      https://colourise.sg/  pretty cool site setup by GovTech to colourise b&w photos. Just tested some of mine. and yes, once the colourisation is done, you can download it. Sadly, the code is not on gitlab/hub though.

      1 reply 1 retweet 5 likes
    2. Robbie Honerkamp‏ @robbiehonerkamp 11 Feb 2019
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      Replying to @harishpillay

      Very cool, I ran quite a few of my old family pics through there and some are very well done. The blog post points to DeOldify as the starting point, not sure from their blog how much they changed the code vs used different training material. https://github.com/jantic/DeOldify 

      1 reply 0 retweets 0 likes
    3. colourisesg‏ @colourisesg 11 Feb 2019
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      Replying to @robbiehonerkamp @harishpillay

      We used @citnaj’s architecture and trained it on Singaporean historical images and Open Images. And so we plan to release our model some time in March, in addition to a CoLab notebook that you can use to colourise your own photos on Google Drive. @GovTechSG

      1 reply 2 retweets 4 likes
    4. Jason Antic‏ @citnaj 11 Feb 2019
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      Replying to @colourisesg @robbiehonerkamp and

      Great stuff- what an honor! I am curious- how much of a difference did Open Images make? I've been considering it but it's huuuuuuuge.

      2 replies 0 retweets 1 like
    5. colourisesg‏ @colourisesg 11 Feb 2019
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      Replying to @citnaj @robbiehonerkamp and

      Thanks! We were really inspired by your project. We wanted to use body part-related images from Open Images to improve limb/body colourisation - we used https://github.com/EscVM/OIDv4_ToolKit … to pick out these images by category and removed duplicates across multiple categories.

      1 reply 1 retweet 3 likes
    6. colourisesg‏ @colourisesg 11 Feb 2019
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      Replying to @colourisesg @citnaj and

      We ended up with ~100K body part related images. And while the training didn't really improve colourisation of all limbs, it did help with colourising specific features like the lips/mouth and feet.

      1 reply 1 retweet 2 likes
      Jason Antic‏ @citnaj 11 Feb 2019
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      Replying to @colourisesg @robbiehonerkamp and

      Very interesting to hear. People are the most important part of images to get right I think. Thanks for sharing this!

      6:42 PM - 11 Feb 2019
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      • colourisesg Robbie Honerkamp
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