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  1. .gitattributes +1 -1
  2. README.md +98 -3
  3. test/gt/00/0000_000.png +3 -0
  4. test/gt/00/0000_045.png +3 -0
  5. test/gt/00/0000_090.png +3 -0
  6. test/gt/00/0000_135.png +3 -0
  7. test/gt/00/0000_rgb.png +3 -0
  8. test/gt/01/0000_000.png +3 -0
  9. test/gt/01/0000_045.png +3 -0
  10. test/gt/01/0000_090.png +3 -0
  11. test/gt/01/0000_135.png +3 -0
  12. test/gt/01/0000_rgb.png +3 -0
  13. test/gt/02/0000_000.png +3 -0
  14. test/gt/02/0000_045.png +3 -0
  15. test/gt/02/0000_090.png +3 -0
  16. test/gt/02/0000_135.png +3 -0
  17. test/gt/02/0000_rgb.png +3 -0
  18. test/gt/03/0000_000.png +3 -0
  19. test/gt/03/0000_045.png +3 -0
  20. test/gt/03/0000_090.png +3 -0
  21. test/gt/03/0000_135.png +3 -0
  22. test/gt/03/0000_rgb.png +3 -0
  23. test/gt/04/0000_000.png +3 -0
  24. test/gt/04/0000_045.png +3 -0
  25. test/gt/04/0000_090.png +3 -0
  26. test/gt/04/0000_135.png +3 -0
  27. test/gt/04/0000_rgb.png +3 -0
  28. test/gt/05/0000_000.png +3 -0
  29. test/gt/05/0000_045.png +3 -0
  30. test/gt/05/0000_090.png +3 -0
  31. test/gt/05/0000_135.png +3 -0
  32. test/gt/05/0000_rgb.png +3 -0
  33. test/gt/06/0000_000.png +3 -0
  34. test/gt/06/0000_045.png +3 -0
  35. test/gt/06/0000_090.png +3 -0
  36. test/gt/06/0000_135.png +3 -0
  37. test/gt/06/0000_rgb.png +3 -0
  38. test/gt/07/0000_000.png +3 -0
  39. test/gt/07/0000_045.png +3 -0
  40. test/gt/07/0000_090.png +3 -0
  41. test/gt/07/0000_135.png +3 -0
  42. test/gt/07/0000_rgb.png +3 -0
  43. test/input/03/0002_000.png +3 -0
  44. test/input/03/0002_045.png +3 -0
  45. test/input/03/0002_135.png +3 -0
  46. test/input/03/0004_000.png +3 -0
  47. test/input/03/0004_045.png +3 -0
  48. test/input/03/0004_135.png +3 -0
  49. test/input/03/0005_000.png +3 -0
  50. test/input/03/0005_rgb.png +3 -0
.gitattributes CHANGED
@@ -56,4 +56,4 @@ saved_model/**/* filter=lfs diff=lfs merge=lfs -text
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  *.webp filter=lfs diff=lfs merge=lfs -text
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  # Video files - compressed
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  *.mp4 filter=lfs diff=lfs merge=lfs -text
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- *.webm filter=lfs diff=lfs merge=lfs -text
 
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  *.webp filter=lfs diff=lfs merge=lfs -text
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  # Video files - compressed
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  *.mp4 filter=lfs diff=lfs merge=lfs -text
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+ *.webm filter=lfs diff=lfs merge=lfs -text
README.md CHANGED
@@ -1,3 +1,98 @@
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- ---
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- license: mit
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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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+
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+ # PolarFree: Polarization-based Reflection-Free Imaging
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+
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+ ## Dataset Overview
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+
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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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+
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+ ## Dataset Structure
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+
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+ The dataset is organized as follows:
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+
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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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+
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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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+
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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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+
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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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+
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+ ## Supported Task
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+
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+ - **Image Reflection Removal**: Utilizing polarization information to remove reflections from input images, resulting in clearer images.
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+
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+ ## Citation
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+
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+ If you use the PolarFree dataset in your research, please cite the following paper:
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+
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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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+
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+ For more information, please visit the project page:
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+
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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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+
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+ ---
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