watermark removal

We have hosted the application watermark removal in order to run this application in our online workstations with Wine or directly.

Quick description about watermark removal:

Watermark-Removal repository is a machine learning project focused on removing visible watermarks from digital images using deep learning and image inpainting techniques. The system analyzes an image containing a watermark and attempts to reconstruct the underlying visual content so that the watermark is removed while preserving the original appearance of the image. The project uses neural network models inspired by research in contextual attention and gated convolution, which are methods commonly applied to image restoration tasks. Through these techniques, the model learns to identify regions of the image affected by the watermark and generate realistic replacements for the missing visual information. The repository contains code for preprocessing images, training the model, and running inference on images to automatically remove watermark artifacts.

Features:

• Deep learning model for removing visible watermarks from images
• Image inpainting architecture for reconstructing damaged regions
• Preprocessing scripts for preparing training datasets
• Training and inference pipelines for watermark removal models
• Implementation inspired by contextual attention and gated convolution
• Automated restoration of images with minimal visible artifacts

Programming Language: Python.
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