Mingde/PolaRGB

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.

{
  "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 [email protected].

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:

@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
• Paper: https://arxiv.org/abs/2503.18055

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