facebookresearch/watermark-anything
Official implementation of the paper "Watermark Anything with Localized Messages" 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
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
- readme: https://github.com/facebookresearch/watermark-anything · fetched 2026-08-28 · 356f47ebbd70
Member repositories
| Repository | Role | Health v2 |
|---|---|---|
| facebookresearch/watermark-anything | main | 10 |
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