| # FlowSteer100 |
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| Benchmark dataset for zero-shot image restoration with [FlowSteer](https://arxiv.org/abs/2512.08125) (CVPR 2026 - Findings track). |
| Interactive and visual comparisons are in the [Project page](https://tharindu-nirmal.github.io/FlowSteer/) |
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| Contains 100 ground truth images for four tasks: |
| - Super-resolution (4×) |
| - Deblurring |
| - Denoising |
| - Colorization |
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| ## Usage |
| Used to evaluate FlowSteer in the paper. |
| To simulate the forward models that simulate the degradations, and the code for FlowSteer, see the [GitHub repo](https://github.com/Tharindu-Nirmal/FlowSteer) . |
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| ## License |
| CC BY 4.0 |
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| --- |
| ## task_categories: |
| - image-to-image |
| ## tags: |
| - imagerestoration |
| - superresolution |
| - colorization |
| - deblurring |
| - denoising |
| - flux |
| - zeroshot |
| pretty_name: FlowSteer100 |
| size_categories: |
| - n<1K |
| --- |
