The RSBlur dataset provides pairs of real and synthetic blurred images with ground truth sharp images. The dataset enables the evaluation of deblurring methods and blur synthesis methods on real-world blurred images. Training, validation, and test sets consist of 8,878, 1,120, and 3,360 blurred images, respectively.
Benchmarks
| Trend | Task | Dataset Variant | Best Model | Paper | Code |
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RSBlur
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SFNet
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RSBlur (trained on synthetic)
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MIMO-UNet + Realistic blur
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Papers
| Paper | Code | Results | Date | Stars |
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