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alexjc/neural-doodle

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Turn your two-bit doodles into fine artworks with deep neural networks, generate seamless textures from photos, transfer style from one image to another, perform example-based upscaling, but wait... there's more! (An implementation of Semantic Style Transfer.)

11 mentions on Hacker News by 10 people: 5 stories, 6 comments · first 2016-03-09 · latest 2018-02-20

Mentions per year 11 mentions · busiest year 2016 (10)
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  1. As I mentioned in another thread, there is some work on this: https://github.com/alexjc/neural-doodle
  2. …[2, 3], so I wouldn't be surprised to see someone implementing this idea in the near future. 1: https://github.com/alexjc/neural-doodle 2: https://arxiv.org/pdf/1605.06211.pdf 3: http://mi.eng.cam.ac.uk/projects/segnet/
  3. …transfer'. The page has some great examples like Impressionist paintings and texture creation. [1] https://github.com/alexjc/neural-doodle GIF: https://github.com/alexjc/neural-doodle/raw/master/docs/Work...
  4. …building all the packages can take an hour+ to do even on a good computer. The Neural Doodle tool ( https://github.com/alexjc/neural-doodle ), which appeared on HN a couple months ago ( https://news.ycombinator.com/item?id=11257566 ), is…
  5. …original paintings that were used as sources and compare them with generated images: Original #1: https://github.com/alexjc/neural-doodle/blob/master/samples/... Generated #1: https://github.com/alexjc/neural-doodle/blob/master/docs/Coa...…
  6. There's an implementation of the algorithm on GitHub: https://github.com/alexjc/neural-doodle