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facebookresearch/watermark-anything

Official implementation of the paper "Watermark Anything with Localized Messages" observed · 2026-08-28

github.com/facebookresearch/watermark-anything · Jupyter Notebook · MIT (permissive) · archived observed · 2026-08-28

Health v2 · maintenance only

10/100

  • Activity 27
  • Release rhythm 35
  • Longevity 47

Flags: no_releases archived

How is this computed?

round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10) — computed 2026-09-03. Adoption (stars, forks) is never an input.

  • gap_med: n/a
  • age_days: 660
  • days_rel: n/a
  • days_push: 439
  • n_releases_24m: 0

Full methodology

Adoption not part of the score

1137 stars · 55 forks observed · 2026-08-28

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

Official PyTorch implementation and pretrained models for the paper 'Watermark Anything with Localized Messages', which embeds multiple localized watermarks into images. It provides inference notebooks, model weights under MIT license, and robustness against edits like moving watermarked objects.

Use cases

  • watermark images with invisible marks
  • embed multiple localized watermarks in different image regions
  • detect and decode watermarks from edited images
  • verify image provenance or ownership
  • research robust image watermarking with deep learning

When to choose

  • you need state-of-the-art localized or multi-region image watermarking
  • you want MIT-licensed pretrained watermarking models
  • you are doing research on watermark robustness and detection

When to avoid

  • you need video or audio watermarking
  • you want a polished end-user GUI application rather than Python code
  • you cannot run PyTorch on a GPU-capable machine

Facets

library · maturity active

image-processing machine-learning deep-learning security image-processing computer-vision artificial-intelligence privacy python cross-platform watermarking image-watermarking provenance pytorch pretrained-models research-code iclr-2025 gpu

1 source

Member repositories

RepositoryRoleHealth v2
facebookresearch/watermark-anythingmain10

For agents

markdown · JSON · MCP: product_card(name="facebookresearch/watermark-anything")

Data as of 2026-08-30T08:39:29.467469+00:00 · Report a problem