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Abdullojon/
ocr-diffusion-model

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OCR-Guided Diffusion Model with Differentiable Critic

Research Objective

This model represents a novel approach to generating images specifically optimized for Optical Character Recognition (OCR) systems. Unlike traditional diffusion models that optimize for human visual perception, this model learns to generate images that maximize machine readability.

Key Innovation: Differentiable OCR Critic

The breakthrough in this research is the introduction of a differentiable OCR critic - a lightweight CNN that acts as a proxy for OCR confidence scoring. This allows gradient-based optimization of OCR readability during diffusion training.

Architecture Components

Diffusion Model: Standard U-Net architecture for noise prediction
OCR Critic: Lightweight CNN trained to predict OCR confidence scores
Guidance System: Uses critic predictions to guide diffusion toward OCR-readable outputs

Training Process

Stage 1: Train the OCR Critic on real OCR confidence data
Stage 2: Train diffusion model with critic guidance (critic frozen)

Model Performance

Training Epochs: 5
Critic Training Samples: 1000
Final Validation Metrics:
- Critic Score: 0.7445915057901447
- Real OCR Confidence: 0.07834081273287548
- Character Error Rate: 0.9291781086493014

Usage

python

import torch
from your_model_code import DiffusionUNet, OCRCritic

# Load the model bundle
checkpoint = torch.load('ocr_research_diffusion_with_critic.pth')

# Initialize models
diffusion_model = DiffusionUNet()
critic_model = OCRCritic()

# Load trained weights
diffusion_model.load_state_dict(checkpoint['diffusion_model'])
critic_model.load_state_dict(checkpoint['critic_model'])

# Generate OCR-optimized images
# (Add your inference code here)

Research Impact

This approach opens new possibilities for:

Synthetic OCR training data generation
Understanding OCR model feature spaces
Adversarial text generation for OCR robustness testing
Domain-specific OCR optimization

Citation

If you use this model in your research, please cite:

@misc{ocr_guided_diffusion,
  title={OCR-Guided Diffusion: Generating Machine-Readable Images},
  author={Your Name},
  year={2025},
  url={https://huggingface.co/Abdullojon/ocr-diffusion-model}
}