SOTA Document Image Enhancement - T2T-BinFormer: Effective Document Image Enhancement Using tokens-to-token Transformer Network
[WACV 2025] High-Fidelity Document Stain Removal via A Large-Scale Real-World Dataset and A Memory-Augmented Transformer
Repository containing unpaper build for Windows users.
MFE-GAN: Efficient GAN-based Framework for Document Image Enhancement and Binarization with Multi-scale Feature Extraction
Automatically remove brand logos and unwanted slides from PDFs
Learning lab about Damaged Document Analysis and Historical Document Enhancement
NeuroScan-AI is an advanced document-understanding engine built with modern computer vision and OCR pipelines. It performs smart perspective correction, illumination normalization, and adaptive enhancement to transform raw camera captures into clean, searchable, professional-grade documents.
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