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noakraicer/Guided-Lensless-Polarization-Imaging
Guided-Lensless-Polarization-Imaging is a machine learning model from noakraicer. Use it for the machine learning task on the model card, and read the license before you ship it in a product. The card lists the license as mit.
Pretrained Stage II checkpoints for Guided Lensless Polarization Imaging (CVPR 2026 Findings).
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Updated Mar 31, 2026
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From the Hugging Face model README
Pretrained Stage II checkpoints for Guided Lensless Polarization Imaging (CVPR 2026 Findings).
Noa Kraicer, Erez Yosef, Raja Giryes · Tel Aviv University
<p align="center"> <a href="https://arxiv.org/abs/2603.27357"><img src="https://img.shields.io/badge/arXiv-2603.27357-b31b1b.svg" alt="arXiv"></a> <a href="https://noa-kraicer.github.io/Guided-Lensless-Polarization-Imaging/"><img src="https://img.shields.io/badge/Project-Page-blue.svg" alt="Project Page"></a> <a href="https://github.com/noa-kraicer/Guided-Lensless-Polarization-Imaging"><img src="https://img.shields.io/badge/GitHub-Code-black.svg" alt="GitHub"></a> <a href="https://huggingface.co/datasets/noakraicer/Guided-Lensless-Polarization-Imaging-stageI"><img src="https://img.shields.io/badge/%F0%9F%A4%97-Stage--I%20Data-orange.svg" alt="Stage-I Data"></a> </p>| Checkpoint | Architecture | Guide | Description |
|---|---|---|---|
grayscale_with_guide.pth | swinfusionSR_GRAYSCALE | RGB | 3ch grayscale polarimetric (0°, 45°, 90°) with RGB guide |
grayscale_no_guide.pth | swinfusionSR_GRAYSCALE | None | 3ch grayscale polarimetric, no guide (FISTA + Transformer baseline) |
color_with_guide.pth | swinfusionSRcolor | RGB | 12ch color polarimetric (4 angles × 3 RGB) with RGB guide |
color_no_guide.pth | swinfusionSRcolor | None | 12ch color polarimetric, no guide (ablation) |
git clone https://github.com/noa-kraicer/Guided-Lensless-Polarization-Imaging.git
cd Guided-Lensless-Polarization-Imaging
wget https://huggingface.co/noakraicer/Guided-Lensless-Polarization-Imaging/resolve/main/grayscale_with_guide.pth
# Set path/pretrained_netG in your config JSON, then:
python test_swin_final.py --opt options/test_RGBP.json
@misc{kraicer2026guidedlenslesspolarizationimaging,
title = {Guided Lensless Polarization Imaging},
author = {Noa Kraicer and Erez Yosef and Raja Giryes},
year = {2026},
eprint = {2603.27357},
archivePrefix = {arXiv},
primaryClass = {eess.IV},
url = {https://arxiv.org/abs/2603.27357}
}