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See, that’s what the app is perfect for.

Sounds perfect Wahhhh, I don’t wanna
needle-pusher
needle-pusher:
“Excuse the inside picture but here is a fresh surface anchor from a few weeks back using a 4 gem cluster from @leroifinejewelry! #fancyfriday #swarovski #surfaceanchor #notadermal #anchors #beautiful #trachea #cluster #clustermania...
needle-pusher

Excuse the inside picture but here is a fresh surface anchor from a few weeks back using a 4 gem cluster from @leroifinejewelry! #fancyfriday #swarovski #surfaceanchor #notadermal #anchors #beautiful #trachea #cluster #clustermania #implantgradebodyjewelry #implantgrade #titanium #leroifinebodyjewelry #leroifinejewelry #bijoux #bijouxclusters #piercingsbysteveo #pincushns #holland #Michigan #downtownholland #puremichigan #Michiganpiercer (at Pincushn’s Custom)

adventuresandshopping
postapocalypticflimflam:
“ geekandsundry:
“ http://geekandsundry.com/5-cooperative-games-to-play-with-kids-who-hate-to-lose/
Losing graciously is a tough skill to master for children–and, let’s be honest, for some adults as well. Cooperative board...
geekandsundry

http://geekandsundry.com/5-cooperative-games-to-play-with-kids-who-hate-to-lose/

Losing graciously is a tough skill to master for children–and, let’s be honest, for some adults as well. Cooperative board games with everyone working together to reach a goal can help ease the disappointment of competitive kids who always want to win. If you’d like to avoid sending…

postapocalypticflimflam

These are great - they remind me of Austin Sung’s mutant animal adventurers.

Source: geekandsundry.com
procedural-generation
procedural-generation:
“ CycleGAN
One big drawback of previous style-transfer methods was that you needed to train the network on image pairs. In order to figure out the similarities you’d need something like a photo and a painting of a photo....
procedural-generation

CycleGAN

One big drawback of previous style-transfer methods was that you needed to train the network on image pairs. In order to figure out the similarities you’d need something like a photo and a painting of a photo. Unfortunately, there aren’t many examples of that in the wild. Things like semantic annotations helped, and there have been attempts with automated processes, but this was a general limitation.

As you might guess, that’s not true anymore. Jun-Yan Zhu, Taesung Park, Phillip Isola, Alexei A. Efros,, the same team who brought us pix2pix have come up with a way to do the training without paired images.

The results are, well, pretty good:

image
image
image

Remember, the one of the limitations of things like edges2cats is that the edges were created with an automated process that missed a lot of details or highlighted irrelevant ones. Being able to use completely separate datasets for the training opens up a host of new options.

https://arxiv.org/abs/1703.10593

https://github.com/junyanz/CycleGAN

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