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OmniGuard: Hybrid Manipulation Localization via Augmented Versatile Deep Image Watermarking

CVPR 2025 · Image generation › Autoregressive and latent generation · approach: Robust diffusion watermarking · 20 citations (OpenAlex)

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Proposes OmniGuard, a hybrid watermarking framework pairing proactive dual watermark embedding with a passive, degradation-aware Swin/ViT-based tamper mask extractor, plus an adaptive watermark transform and a VAE-based AIGC-edit simulation layer.

Problem

Versatile deep image watermarking must jointly provide high container-image fidelity, precise pixel-wise tamper localization, flexible localized watermark choice, and copyright extraction robustness under AIGC editing and common degradations; prior residual-subtraction methods trade fidelity against

Approach

Replace residual subtraction between fixed and recovered localized watermarks with a learned passive tamper extractor that takes the recovered watermark artifact map and the tampered image plus a learnable degradation query, decoupling encoder and decoder so the localized watermark can be chosen flexibly and made content-aware; add a VAE-based (SD 1.5) and partial-removal simulation layer to make

Key results

Measured effects reported in the paper

What was changedWhereMeasuredEffect
replace EditGuard with OmniGuardversatile watermark localization · Stable Diffusion Inpaint degradedF1: 0.740 -> 0.947Helped
replace EditGuard with OmniGuardversatile watermark localization · ControlNet Inpaint degradedF1: 0.752 -> 0.952Helped
replace EditGuard with OmniGuardversatile watermark localization · Splicing degradedF1: 0.758 -> 0.895Helped
add OmniGuard's dual-watermark approach instead of EditGuard†copyright watermark embedding · COCO testPSNR (dB): 37.53 -> 41.78Helped
use OmniGuard instead of Robust-Widecopyright watermark recovery · Instructp2pBit accuracy (%): 0.990 -> 0.981Hurt
use a fixed natural-image watermark instead of a fixed pure-image watermark (ablation)OmniGuard localized watermark selection · COCO testPSNR (dB): 39.64 -> 41.09Helped
use a fixed natural-image watermark instead of a fixed pure-image watermark (ablation)OmniGuard localized watermark selection · COCO testF1: 0.975 -> 0.957Hurt
use the original image as the localized watermark instead of a fixed natural image (ablation)OmniGuard localized watermark selection · COCO testPSNR (dB): 41.09 -> 40.28Hurt
use the original image as the localized watermark instead of a fixed natural image (ablation)OmniGuard localized watermark selection · COCO testF1: 0.957 -> 0.885Hurt
add adaptive watermark transform to a fixed natural-image watermark (ablation)OmniGuard · COCO testPSNR (dB): 41.09 -> 41.78Helped
remove tampered image input from the tamper extractor (ablation)OmniGuard · COCO testF1: 0.905 vs 0.961Hurt
remove degradation query from the tamper extractor (ablation)OmniGuard · COCO testF1: 0.935 vs 0.961Hurt

Surprising findings

Limitations

Experimental setup

Datasets: MIRFlickr DIV2K COCO UltraEdit ImageNet-1k

Benchmarks: COCO UltraEdit

Metrics: F1-Score AUC PSNR SSIM bit accuracy

Baselines: MVSS-Net CAT-Net PSCC-Net HiFi-Net IML-ViT EditGuard PIMoG SepMark TrustMark Robust-Wide

Builds on: EditGuard Robust-Wide TrustMark IML-ViT Q-Former

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