Decensoring Hentai with Deep Neural Networks. Formerly named DeepMindBreak.
A deep learning-based tool to automatically replace censored artwork in hentai with plausible reconstructions.
The user colors censored regions green in an image editing program like GIMP or Photoshop. A neural network fills in the censored regions.
DeepCreamPy has a pre-built binary for Windows 64-bit available here. DeepCreamPy works on Windows, Mac, and Linux.
The decensorship is for color hentai images that have minor to moderate censorship of the penis or vagina. If a vagina or penis is completely censored out, decensoring will be ineffective.
It does NOT work with:- Black and white/Monochrome image- Hentai with screentones (e.g. printed hentai)- Real life porn- Censorship of nipples- Censorship of anus- Animated gifs/videos
Follow me on Twitter @deeppomf for project updates.
Contributions are welcome! Special thanks to IAmTheRedSpy, 0xb8, deniszh, Smethan, mrmajik45, harjitmoe, itsVale, StartleStars, and SoftArmpit!
This project is licensed under GNU Affero General Public License v3.0.
See LICENSE.txt for more information about the license.
Neural network code is modified from MathiasGruber's project Partial Convolutions for Image Inpainting using Keras, which is an unofficial implementation of the paper Image Inpainting for Irregular Holes Using Partial Convolutions. Partial Convolutions for Image Inpainting using Keras is licensed under the MIT license.
User interface code is modified from Packt's project Tkinter GUI Application Development Blueprints - Second Edition. Tkinter GUI Application Development Blueprints - Second Edition is licensed under the MIT license.
Data is modified from gwern's project Danbooru2017: A Large-Scale Crowdsourced and Tagged Anime Illustration Dataset.
See ACKNOWLEDGEMENTS.md for full license text of these projects.
git clone deeppomf-DeepCreamPy_-_2018-11-08_21-26-21.bundle