Document Enhancement
6 papers with code • 0 benchmarks • 0 datasets
Benchmarks
These leaderboards are used to track progress in Document Enhancement
Most implemented papers
DE-GAN: A Conditional Generative Adversarial Network for Document Enhancement
dali92002/DE-GAN
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Documents often exhibit various forms of degradation, which make it hard to be read and substantially deteriorate the performance of an OCR system.
DocDiff: Document Enhancement via Residual Diffusion Models
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.
NAF-DPM: A Nonlinear Activation-Free Diffusion Probabilistic Model for Document Enhancement
ispamm/naf-dpm
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Real-world documents may suffer various forms of degradation, often resulting in lower accuracy in optical character recognition (OCR) systems.
Document Enhancement Using Visibility Detection
Interestingly, this information is based on a solution to a seemingly unrelated problem of visibility detection in R3.
Light-weight Document Image Cleanup using Perceptual Loss
microsoft/computervision-recipes
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Smartphones have enabled effortless capturing and sharing of documents in digital form.
Text-DIAE: A Self-Supervised Degradation Invariant Autoencoders for Text Recognition and Document Enhancement
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.
