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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.ξˆ†

Dataset Structure

The dataset is organized as follows:ξˆ†

polarfree/test
β”œβ”€β”€ input/
β”‚   └── scene_id/
β”‚       β”œβ”€β”€ 000_000.png
β”‚       β”œβ”€β”€ 000_045.png
β”‚       β”œβ”€β”€ 000_090.png
β”‚       β”œβ”€β”€ 000_rgb.png
β”‚       β”œβ”€β”€ 001_000.png
β”‚       β”œβ”€β”€ 001_045.png
β”‚       β”œβ”€β”€ 001_090.png
β”‚       β”œβ”€β”€ 001_rgb.png
β”‚       └── ...
β”œβ”€β”€ gt/
β”‚   └── scene_id/
β”‚       β”œβ”€β”€ 000_000.png
β”‚       β”œβ”€β”€ 000_045.png
β”‚       β”œβ”€β”€ 000_090.png
β”‚       β”œβ”€β”€ 000_rgb.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"
  ]
}

Currently, only the test dataset is available. The training dataset is being organized. Stay tuned!

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:ξˆ†

@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:


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