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DocPure framework offers prompt-free document restoration

Researchers have introduced DocPure, a novel framework designed to restore degraded document images without requiring specific prompts. This system utilizes a degradation-aware structure auto-encoder to predict clean structural information from damaged inputs, employing degradation labels only for auxiliary supervision during training. A key innovation is the structure-guided wavelet interaction mechanism, which integrates frequency-domain features with spatial semantics to ensure structural consistency in restoration tasks such as deblurring, denoising, and deshadowing. AI

IMPACT This research could improve the accuracy and efficiency of processing scanned or transmitted documents, benefiting archival and automated systems.

RANK_REASON The cluster describes a new academic paper detailing a novel framework for document restoration. [lever_c_demoted from research: ic=1 ai=1.0]

Read on arXiv cs.CV →

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DocPure framework offers prompt-free document restoration

COVERAGE [1]

  1. arXiv cs.CV TIER_1 English(EN) · Lingming Su (College of Computer Science and Artificial Intelligence, Wenzhou University, Wenzhou, China), Wanglong Lu (College of Computer Science and Artificial Intelligence, Wenzhou University, Wenzhou, China, AI Analytics Team, Nasdaq, St. John's, Ca… ·

    DocPure: Prompt-Free Unified Document Restoration via Degradation-Aware Structure-Guided Wavelet Modulation

    arXiv:2608.09536v1 Announce Type: new Abstract: High-quality document images are pivotal for information archiving and downstream automatic processing. However, they are frequently compromised by diverse degradations during uncontrolled acquisition and transmission. While unified…