vijishmadhavan/SkinDeep
A Stable Diffusion and ControlNet-based project that removes tattoos from images using deep learning.
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The project uses synthetic data generation to train deep learning models for tattoo removal in images. It overlays APDrawing dataset pairs with tattoo designs to create training data, leveraging ControlNet for image-to-image translation. The pipeline processes portrait and full-body images, using Stable Diffusion as the underlying generative model to produce retouched output without tattoos.
Frequently asked
- What is vijishmadhavan/SkinDeep?
- A Stable Diffusion and ControlNet-based project that removes tattoos from images using deep learning.
- Is SkinDeep open source?
- Yes — vijishmadhavan/SkinDeep is open source, released under the Apache-2.0 license.
- What language is SkinDeep written in?
- vijishmadhavan/SkinDeep is primarily written in Jupyter Notebook.
- How popular is SkinDeep?
- vijishmadhavan/SkinDeep has 957 stars on GitHub.
- Where can I find SkinDeep?
- vijishmadhavan/SkinDeep is on GitHub at https://github.com/vijishmadhavan/SkinDeep.