ENet-GP: Unified Document Image Restoration

arXiv:2609.33758 · cs.CV · Submitted 2026-09-27 · Read on arXiv

cs.CV

Submitted: 2026-09-27

Updated: 2026-09-27

Terminology

• Document Image Restoration — 14× in this paper
• Transformer — 12× in this paper · explained in 2 episodes
• Benchmark — 10× in this paper · explained in 2 episodes
• Conference on Computer Vision and Pattern Recognition — 5× in this paper
• Diffusion Model — 5× in this paper · explained in 8 episodes
• Robustness — 5× in this paper · explained in 5 episodes
• Ablation — 4× in this paper · explained in 1 episode
• Alignment — 4× in this paper · explained in 1 episode
• Diffusion Models — 4× in this paper · explained in 6 episodes
• International Conference on Document Analysis and Recognition — 4× in this paper
• International Conference on Computer Vision — 3× in this paper
• Representation Learning — 3× in this paper · explained in 2 episodes
• Accuracy — 2× in this paper · explained in 1 episode
• Benchmarking — 2× in this paper · explained in 4 episodes
• Fidelity — 2× in this paper · explained in 2 episodes
• Ablation Studies — 1× in this paper · explained in 1 episode
• Adaptability — 1× in this paper · explained in 1 episode
• Character Error Rate — 1× in this paper
• Clustering — 1× in this paper · explained in 2 episodes
• Contrastive Learning — 1× in this paper · explained in 5 episodes
• Core — 1× in this paper · explained in 2 episodes
• Downstream Tasks — 1× in this paper · explained in 2 episodes
• Edit Distance — 1× in this paper
• Entanglement — 1× in this paper · explained in 4 episodes
• Generalization — 1× in this paper · explained in 13 episodes
• International Conference on Pattern Recognition — 1× in this paper
• Peak Signal-to-Noise Ratio — 1× in this paper
• Regularization — 1× in this paper · explained in 3 episodes
• Unified Framework — 1× in this paper · explained in 5 episodes

Sources

• Defocus Deblurring Using Dual-Pixel Data
• Nougat: Neural Optical Understanding for Academic Documents
• Rethinking Coarse-to-Fine Approach in Single Image Deblurring
• End-to-end Document Recognition and Understanding with Dessurt
• DocTr: Document Image Transformer for Geometric Unwarping and Illumination Correction
• DocScanner: Robust Document Image Rectification with Progressive Learning
• Geometric Representation Learning for Document Image Rectification
• DocMAE: Document Image Rectification via Self-supervised Representation Learning
• Deep Residual Learning for Image Recognition
• Efficient Document Image Dewarping via Hybrid Deep Learning and Cubic Polynomial Geometry Restoration
• Water-Filling: An Efficient Algorithm for Digitized Document Shadow Removal
• OCR-free Document Understanding Transformer
• High-Resolution Document Shadow Removal via A Large-Scale Real-World Dataset and A Frequency-Aware Shadow Erasing Net
• SwinIR: Image Restoration Using Swin Transformer
• An Intriguing Failing of Convolutional Neural Networks and the CoordConv Solution
• BookNet: Book Image Rectification via Cross-Page Attention Network
• ProRes: Exploring Degradation-aware Visual Prompt for Universal Image Restoration
• Image Restoration Using Very Deep Convolutional Encoder-Decoder Networks with Symmetric Skip Connections
• U-Net: Convolutional Networks for Biomedical Image Segmentation
• An Overview of Multi-Task Learning in Deep Neural Networks

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