Datasets:
Tasks:
Image-to-Image
Modalities:
Image
Formats:
imagefolder
Languages:
English
Size:
1K - 10K
ArXiv:
License:
Add files using upload-large-folder tool
Browse files- .gitattributes +1 -1
- README.md +98 -3
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.gitattributes
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# Video files - compressed
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README.md
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---
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---
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pretty_name: PolarFree
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tags:
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- computer-vision
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- reflection-removal
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- polarization
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- image-processing
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- cvpr2025
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license: cc-by-nc-4.0
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datasets:
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- polarfree
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language:
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- en
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size_categories:
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- 10K<n<100K
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task_categories:
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- image-to-image
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---
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# PolarFree: Polarization-based Reflection-Free Imaging
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## Dataset Overview
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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.
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## Dataset Structure
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The dataset is organized as follows:
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```
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dataset/
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├── train/
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│ └── scene_id/
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│ ├── input/
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│ │ ├── 000_000.png
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│ │ ├── 000_045.png
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│ │ └── ...
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│ └── gt/
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│ ├── 000_000.png
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│ ├── 000_045.png
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│ └── ...
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├── test/
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│ └── scene_id/
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│ ├── input/
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│ │ ├── 000_000.png
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│ │ ├── 000_045.png
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│ │ └── ...
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│ └── gt/
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│ ├── 000_000.png
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│ ├── 000_045.png
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│ └── ...
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```
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- **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.
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- **gt/scene_id/**: Contains the corresponding high-quality ground truth images used as references for the input images.
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```json
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{
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"inputs": [
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"input/scene_id/001_000.png",
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"input/scene_id/001_045.png",
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"input/scene_id/001_090.png",
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"input/scene_id/001_rgb.png"
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],
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"gt": [
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"gt/scene_id/000_000.png",
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"gt/scene_id/000_045.png",
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"gt/scene_id/000_090.png",
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"gt/scene_id/000_rgb.png"
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]
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}
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```
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The training and testing data are all available! If you want raw images, please contact me via [email protected].
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## Supported Task
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- **Image Reflection Removal**: Utilizing polarization information to remove reflections from input images, resulting in clearer images.
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## Citation
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If you use the PolarFree dataset in your research, please cite the following paper:
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```bibtex
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@inproceedings{polarfree2025,
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title={PolarFree: Polarization-based Reflection-Free Imaging},
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author={Yao, Mingde and Wang, Menglu and Tam, King-Man and Li, Lingen and Xue, Tianfan and Gu, Jinwei},
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booktitle={CVPR},
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year={2025}
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}
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```
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For more information, please visit the project page:
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- GitHub Repository: [https://github.com/mdyao/PolarFree](https://github.com/mdyao/PolarFree)
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- Paper: [https://arxiv.org/abs/2503.18055](https://arxiv.org/abs/2503.18055)
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