zuruoke/watermark-removal
a machine learning image inpainting task that instinctively removes watermarks from image indistinguishable from the ground truth image
What it solves
It removes watermarks from images, aiming to produce results that are indistinguishable from the original, watermark-free version of the image.
How it works
The project uses a machine learning-based image inpainting methodology. It is inspired by research on Contextual Attention and Gated Convolution to fill in the missing pixels where the watermark was located.
Who it’s for
Users who need to clean up images by removing unwanted watermarks using deep learning techniques.
Highlights
- Uses machine learning for high-quality image inpainting.
- Inspired by CVPR 2018 and ICCV 2019 research papers.
- Provides Docker support for easier deployment.
- Supports specific watermark types, such as istock.