Document Enhancement

Benchmarks archive 2025-07-28

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Libraries

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Datasets archive 2025-07-28

2 datasets whose archive record lists this task, ordered by the archive's paper count.

Subtasks archive 2025-07-28

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Parent tasks archive 2025-07-28

Most implemented papers archive 2025-07-28

8 shown of 8 papers with code (13 tagged with this task in all), ordered by repositories listed in the archive, not by stars (the archive holds no stars, so PwC's “Social” and “Latest” sorts cannot be reproduced). Papers without a page here are shown as plain text.

• DE-GAN: A Conditional Generative Adversarial Network for Document Enhancement
  17 Oct 2020 4 repositories listed
  Documents often exhibit various forms of degradation, which make it hard to be read and substantially deteriorate the performance of an OCR system.
• NAF-DPM: A Nonlinear Activation-Free Diffusion Probabilistic Model for Document Enhancement
  8 Apr 2024 2 repositories listed
  Real-world documents may suffer various forms of degradation, often resulting in lower accuracy in optical character recognition (OCR) systems.
• DocDiff: Document Enhancement via Residual Diffusion Models
  6 May 2023 2 repositories listed
  Removing degradation from document images not only improves their visual quality and readability, but also enhances the performance of numerous automated document analysis and recognition tasks.
• High-Fidelity Document Stain Removal via A Large-Scale Real-World Dataset and A Memory-Augmented Transformer
  30 Oct 2024 1 repository listed
  To address this challenge, we construct StainDoc, the first large-scale, high-resolution (2145×2245) dataset specifically designed for document stain removal.
• LP-IOANet: Efficient High Resolution Document Shadow Removal
  22 Mar 2023 1 repository listed
  Document shadow removal is an integral task in document enhancement pipelines, as it improves visibility, readability and thus the overall quality.
• Text-DIAE: A Self-Supervised Degradation Invariant Autoencoders for Text Recognition and Document Enhancement
  9 Mar 2022 1 repository listed
  In this paper, we propose a Text-Degradation Invariant Auto Encoder (Text-DIAE), a self-supervised model designed to tackle two tasks, text recognition (handwritten or scene-text) and document image enhancement.
• Light-weight Document Image Cleanup using Perceptual Loss
  19 May 2021 1 repository listed
  Smartphones have enabled effortless capturing and sharing of documents in digital form.
• Document Enhancement Using Visibility Detection
  1 Jun 2018 1 repository listed
  Interestingly, this information is based on a solution to a seemingly unrelated problem of visibility detection in R3.