marcbelmont/cnn-watermark-removal

Health v2 · maintenance only

Flags: no_releases no_license

Adoption not part of the score

1269 stars · 221 forks observed · 2026-08-28

What it is AI-extracted, prompt v1, taxonomy v1, 2026-08-30, confidence not recorded

A TensorFlow implementation of a fully convolutional neural network that removes transparent watermark overlays from images. It trains on synthetic rectangular masks over Pascal VOC/CIFAR images and predicts the original pixels under the overlay.

Use cases

• remove transparent watermark overlays from images
• inpaint regions covered by semi-transparent text or logos
• train a CNN to reconstruct occluded image areas
• experiment with dilated convolutions for image restoration
• run inference on a watermarked image with a selection mask

When to choose

• the watermark is a simple additive transparent overlay similar to the synthetic masks
• you want a small, self-contained TensorFlow codebase to study watermark removal
• you need a pretrained model for quick experiments on overlay removal

When to avoid

• the watermark is complex, tiled, or very different from simple rectangular overlays
• you need production-quality generalizable inpainting - deep image prior methods are recommended by the author
• you require a maintained project with a license and active development
• the overlay is applied non-additively (e.g., multiplicative blending)

Facets

library · maturity maintenance

machine-learning deep-learning image-processing computer-vision machine-learning computer-vision image-processing python cross-platform watermark-removal inpainting tensorflow fully-convolutional-network dilated-convolution densenet image-restoration linux

Member repositories

For agents

markdown · JSON · MCP: product_card(name="marcbelmont/cnn-watermark-removal")