This repository contains a paper collection of the methods for document image processing, including appearance enhancement, deshadowing, dewarping, deblurring, binarization and so on.

DIAR software for synthetic document image and groundtruth generation, with various degradation models for data augmentation

Contains code for object detection models like RetinaNet, FasterRCNN, YOLO that can be used to detect and recognize tables in document images.

Realistic synthetic degradation of document images — simulate scans, phone photos, photocopies, and aged paper for data augmentation in document AI / OCR / layout analysis pipelines. 23 physically-motivated transforms, 6 presets, CLI + Python API.