Datasets:
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License:
| license: cc-by-nc-4.0 | |
| tags: | |
| - polarization | |
| - computer-vision | |
| - physics-informed | |
| - stokes | |
| - image-encoding | |
| language: | |
| - en | |
| pretty_name: Polarization Encoding Dataset | |
| task_categories: | |
| - image-to-image | |
| # Polarization Encoding Dataset | |
| This dataset provides processed polarization data suitable for PolarAnything. | |
| It contains two main components: | |
| - **S0/**: Unpolarized intensity images, representing the total light intensity (Stokes S0). | |
| - **Polarization_Encoding/**: A 3-channel encoding of polarization information, where each channel represents: | |
| - Channel 0: sin(2 × AoLP) | |
| - Channel 1: cos(2 × AoLP) | |
| - Channel 2: Degree of Linear Polarization (DoLP) | |
| ## Usage | |
| You can load this dataset via the Hugging Face `datasets` library: | |
| ```python | |
| from datasets import load_dataset | |
| ds = load_dataset("flztroro/PolarAnything") | |
| ``` | |
| Or browse the dataset files manually on the Hugging Face Hub. | |
| ## Citation | |
| If you use this dataset in your research, please cite the following paper: | |
| ``` | |
| @misc{zhang2025polaranythingdiffusionbasedpolarimetricimage, | |
| title={PolarAnything: Diffusion-based Polarimetric Image Synthesis}, | |
| author={Kailong Zhang and Youwei Lyu and Heng Guo and Si Li and Zhanyu Ma and Boxin Shi}, | |
| year={2025}, | |
| eprint={2507.17268}, | |
| archivePrefix={arXiv}, | |
| primaryClass={cs.CV}, | |
| url={https://arxiv.org/abs/2507.17268}, | |
| } | |
| ``` | |
| ## License | |
| This dataset is licensed under the Creative Commons Attribution-NonCommercial 4.0 License (CC-BY-NC-4.0). |