AI RESEARCH
TRACE: Structure-Aware Character Encoding for Robust and Generalizable Document Watermarking
arXiv CS.CV
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ArXi:2603.12873v1 Announce Type: new We propose TRACE, a structure-aware framework leveraging diffusion models for localized character encoding to embed data. Unlike existing methods that rely on edge features or pre-defined codebooks, TRACE exploits character structures that provide inherent resistance to noise interference due to their stability and unified representation across diverse characters.