Watermark segmentation

Watermark Segmentation This repository by Diffusion Dynamics, showcases the core technology behind the watermark segmentation capabilities of our first product, clear.photo. This work leverages insights from research on diffusion models for image restoration tasks. Introduction Effective watermark removal hinges on accurately identifying the watermark's precise location and shape within the image. This code tackles the first crucial step: watermark segmentation. We present a deep learning approach trained to generate masks highlighting watermark regions. This repository focuses on segmenting logo-based watermarks, demonstrating a robust technique adaptable to various watermark types. The methodologies employed draw inspiration from advancements in image segmentation. This repository aims to consolidate key ideas from recent research in visible watermark removal and segmentation, including techniques presented in: arXiv:2108.03581 "Visible Watermark Removal via Self-calibrated Loc ... Read full article.