Duplicate from Mingde/PolaRGB

Co-authored-by: Mingde Yao <Mingde@users.noreply.huggingface.co>

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README.md

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+---
+pretty_name: PolarFree
+tags:
+- computer-vision
+- reflection-removal
+- polarization
+- image-processing
+- cvpr2025
+license: cc-by-nc-4.0
+datasets:
+- polarfree
+language:
+- en
+size_categories:
+- 10K<n<100K
+task_categories:
+- image-to-image
+---
+
+# PolarFree: Polarization-based Reflection-Free Imaging
+
+## Dataset Overview
+
+PolarFree is a high-quality dataset designed for polarization-based reflection removal tasks, as introduced in the CVPR 2025 paper "PolarFree: Polarization-based Reflection-Free Imaging". The dataset aims to support tasks such as image reflection removal and image enhancement, particularly suitable for training and evaluating image enhancement models.
+
+## Dataset Structure
+
+The dataset is organized as follows:
+
+```
+dataset/
+├── train/
+│   └── scene_id/
+│       ├── input/
+│       │   ├── 000_000.png
+│       │   ├── 000_045.png
+│       │   └── ...
+│       └── gt/
+│           ├── 000_000.png
+│           ├── 000_045.png
+│           └── ...
+├── test/
+│   └── scene_id/
+│       ├── input/
+│       │   ├── 000_000.png
+│       │   ├── 000_045.png
+│       │   └── ...
+│       └── gt/
+│           ├── 000_000.png
+│           ├── 000_045.png
+│           └── ...
+```
+
+- **input/scene_id/**: Contains multiple input images captured at different polarization angles. Each group of images shares the same prefix number (e.g., 000, 001), indicating they belong to the same set.
+- **gt/scene_id/**: Contains the corresponding high-quality ground truth images used as references for the input images.
+
+```json
+{
+  "inputs": [
+    "input/scene_id/001_000.png",
+    "input/scene_id/001_045.png",
+    "input/scene_id/001_090.png",
+    "input/scene_id/001_rgb.png"
+  ],
+  "gt": [
+    "gt/scene_id/000_000.png",
+    "gt/scene_id/000_045.png",
+    "gt/scene_id/000_090.png",
+    "gt/scene_id/000_rgb.png"
+  ]
+}
+```
+
+The training and testing data are all available! If you want raw images, please contact me via mingdeyao@foxmail.com.
+
+## Supported Task
+
+- **Image Reflection Removal**: Utilizing polarization information to remove reflections from input images, resulting in clearer images.
+
+## Citation
+
+If you use the PolarFree dataset in your research, please cite the following paper:
+
+```bibtex
+@inproceedings{polarfree2025,
+  title={PolarFree: Polarization-based Reflection-Free Imaging},
+  author={Yao, Mingde and Wang, Menglu and Tam, King-Man and Li, Lingen and Xue, Tianfan and Gu, Jinwei},
+  booktitle={CVPR},
+  year={2025}
+}
+```
+
+For more information, please visit the project page:
+
+- GitHub Repository: [https://github.com/mdyao/PolarFree](https://github.com/mdyao/PolarFree)
+- Paper: [https://arxiv.org/abs/2503.18055](https://arxiv.org/abs/2503.18055)
+
+---