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Gen planning

Gen planning
·
Contributors (2)
Published
Dec 09, 2018

This is a planning doc for generist art creation. For detailed how-tos and writeup, see other pubs in this group.

Toolbox of neural networks for image synthesis

  • https://github.com/wxs/subjective-functions

  • https://github.com/AaronLeong/BigGAN-pytorch

  • https://github.com/lengstrom/fast-style-transfer

  • https://github.com/google/deepdream/blob/master/dream.ipynb

  • https://tfhub.dev/deepmind/biggan-512/2

  • picbreeder, ganbreeder?

Customize BigGAN

  1. Take pretrained bigGAN generator

  2. Add an extra layer

  3. See layer with Met objects / objectives

—-> an image synthesis sandbox !

Specialize training data

  • use Met images

  • use wikiart genres? scraper:
    https://github.com/robbiebarrat/art-DCGAN/blob/master/genre-scraper.py

May not need to if it suffices to specialize bigGAN with Met images
But could just choose specific genres {or category combinations}

Biggan categories == imagenet categories == https://gist.github.com/yrevar/942d3a0ac09ec9e5eb3a

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