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Announcement for V2
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This project applies an implementation of [Globally and Locally Consistent Image Completion](http://hi.cs.waseda.ac.jp/%7Eiizuka/projects/completion/data/completion_sig2017.pdf) to the problem of hentai decensorship. Using a deep fully convolutional neural network, DeepMindBreak can replace censored artwork in hentai with plausible reconstructions. The user needs to only specify the censored regions.
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# **THIS PROJECT IS STILL IN DEVELOPMENT. DO NOT BE DISAPPOINTED IF THE RESULTS AREN'T AS GOOD AS YOU EXPECT.**
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# **DeepMindBreak V2 (temporary name) will be released this year! Many improvements with a UI, higher resolution, and better looking decensors! Stay tuned.**
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Consider waiting for V2 since V1 looks amateurish and terrible in comparison.
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![Censored, decensored](/readme_images/collage.png)
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