DeepCreamPy – Decensoring Hentai with Deep Neural Networks
From the webpage:
This project applies an implementation of Image Inpainting for Irregular Holes Using Partial Convolutions to the problem of hentai decensorship. Using a deep fully convolutional neural network, DeepCreamPy can replace censored artwork in hentai with plausible reconstructions. The user needs to specify the censored regions in each image by coloring those regions green in a separate image editing program like GIMP or Photoshop.
…Limitations
The decensorship is intended to work on 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 containing screentones (e.g. printed hentai)
- Real life porn
- Censorship of nipples
- Censorship of anus
- Animated gifs/videos
… (emphasis in original)
Given the project limitations, there is a great opportunity for a major contribution.
Albeit I don’t know how “decensored drawings of anuses” would look on a resume. You might need to re-word that part.
What images do you want to decensor?