Upload PolarAPP SfP and DfP checkpoints

DfP/DemNet/DemNet.pth

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DfP/FANet/FANet.pth

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DfP/TaskNet/TaskNet.pth

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README.md

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+---
+library_name: pytorch
+pipeline_tag: image-to-image
+tags:
+  - polarization
+  - demosaicking
+  - shape-from-polarization
+  - reflection-removal
+---
+
+# PolarAPP checkpoints
+
+This repository contains the released checkpoints for the two downstream tasks in [PolarAPP](https://arxiv.org/abs/2603.23071):
+
+- `SfP/`: full-resolution shape from polarization with a TaskNet designed specifically for PolarAPP.
+- `DfP/`: full-resolution de-reflection from polarization with a PolarFree-based TaskNet.
+
+## Files
+
+```text
+SfP/
+|-- DemNet/DemNet.pth
+|-- TaskNet/TaskNet.pth
+`-- FANet/FANet.pth
+
+DfP/
+|-- DemNet/DemNet.pth
+|-- TaskNet/TaskNet.pth
+`-- FANet/FANet.pth
+```
+
+`DemNet` reconstructs full-resolution polarization observations. `TaskNet` performs the downstream task. `FANet` supports feature alignment during training.
+
+## Download
+
+```python
+from huggingface_hub import snapshot_download
+
+checkpoint_root = snapshot_download("Roydon728/PolarAPP")
+```
+
+Pass the task subdirectory to the corresponding inference command:
+
+```bash
+cd SfP
+python infer.py --input-dir ./Datasets/Testsets --ckpt-dir <snapshot>/SfP
+
+cd DfP
+python infer.py --input-dir ./Datasets/PolaRGB --ckpt-dir <snapshot>/DfP \
+  --polarfree-checkpoint-dir ./experiments/checkpoints/polarfree
+```
+
+The DfP workflow loads the PolarFree diffusion-prior files separately using their upstream filenames.
+
+## Data
+
+- SfP dataset links are distributed through [SfPUEL](https://github.com/YouweiLyu/SfPUEL). Follow the dataset terms and citation guidance from the provider.
+- DfP uses [PolaRGB](https://huggingface.co/datasets/Mingde/PolaRGB), distributed under CC BY-NC 4.0.
+
+## Integrity
+
+SHA-256 checksums are provided in `SHA256SUMS.txt`.
+
+## Citation
+
+```bibtex
+@article{luo2026polarapp,
+  title   = {PolarAPP: Beyond Polarization Demosaicking for Polarimetric Applications},
+  author  = {Luo, Yidong and Li, Chenggong and Song, Yunfeng and Wang, Ping and Shi, Boxin and Zhang, Junchao and Yuan, Xin},
+  journal = {arXiv preprint arXiv:2603.23071},
+  year    = {2026}
+}
+```

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