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Docres: a generalist model toward unifying document image restoration tasks
Document image restoration is a crucial aspect of Document AI systems as the quality of
document images significantly influences the overall performance. Prevailing methods …
document images significantly influences the overall performance. Prevailing methods …
Simfir: A simple framework for fisheye image rectification with self-supervised representation learning
In fisheye images, rich distinct distortion patterns are regularly distributed in the image
plane. These distortion patterns are independent of the visual content and provide …
plane. These distortion patterns are independent of the visual content and provide …
Visual Text Meets Low-level Vision: A Comprehensive Survey on Visual Text Processing
DocScanner: Robust document image rectification with progressive learning
Compared with flatbed scanners, portable smartphones provide more convenience for
physical document digitization. However, such digitized documents are often distorted due …
physical document digitization. However, such digitized documents are often distorted due …
Am I readable? Transfer learning based document image rectification
Document image rectification is a commonly explored problem in computer vision. However,
in recent works, the improvements made on a distorted document page are mostly confined …
in recent works, the improvements made on a distorted document page are mostly confined …
Do-GOOD: towards distribution shift evaluation for pre-trained visual document understanding models
Numerous pre-training techniques for visual document understanding (VDU) have recently
shown substantial improvements in performance across a wide range of document tasks …
shown substantial improvements in performance across a wide range of document tasks …