Exploring the transformer-based and diffusion-based models for single image deblurring

Key Points

• Image deblurring achieved notable improvements in quality using transformer-based models.
• Key experiments demonstrated that diffusion-based models outperformed transformers in specific scenarios—yielding clearer images.
• Comparative analysis was performed on various algorithms, with extensive testing on diverse image sets to ensure robust evaluations.
• Insights from this study support advancements in deblurring techniques, indicating potential for broader application in image processing.