| --- |
| license: cc-by-4.0 |
| pretty_name: Real-world Polarimetric Environment Map Dataset |
| language: |
| - en |
| tags: |
| - computer-vision |
| - computer-graphics |
| - polarization |
| - stokes |
| - hdr |
| - environment-map |
| - image-based-lighting |
| size_categories: |
| - n<1K |
| configs: |
| - config_name: full_stokes |
| data_files: |
| - split: train |
| path: full_stokes/metadata.csv |
| - config_name: linear_stokes |
| data_files: |
| - split: train |
| path: linear_stokes/metadata.csv |
| --- |
| |
| # Real-world Polarimetric Environment Map Dataset |
|
|
| A real-world dataset of full-sphere **HDR RGB polarization environment maps** at **2048 × 1024** resolution, with processed EXRs, RAW captures, calibration files and masks. |
|
|
| [Project page](https://yongheeoh.github.io/PolarimetricEnvironmentMap/) · [Code](https://github.com/yongheeoh/PolarimetricEnvironmentMap) · [Contact](mailto:dhdydgml1019@gmail.com) |
|
|
| ## Collections |
|
|
| | Collection | Released scenes | Scene IDs | Measured components | |
| | --- | --- | --- | --- | |
| | `full_stokes` | 97: 30 indoor, 67 outdoor | 1–100 | S0, S1, S2, S3 | |
| | `linear_stokes` | 9: 4 indoor, 5 outdoor | 1–9 | S0, S1, S2 | |
|
|
| Linear S3 is **not measured**; stored zeros are placeholders (`s3_measured=false`). IDs are local to each collection. Full-Stokes scenes **74, 87 and 98** are withheld for privacy; their metadata rows have empty data paths. Contact the author for access inquiries. |
|
|
| ## Folder structure |
|
|
| ```text |
| {full_stokes,linear_stokes}/ |
| calibration/ |
| penvmap/{thetaphi,duff,s2l2}/{scene_id}.exr |
| preview/{s0,s1n,s2n,s3n,aolpn}/{scene_id}.jpg |
| mask/{saturation,privacy,invalid}/{scene_id}.png |
| raw/{scene_id}/ |
| metadata.csv |
| load_scene.py |
| requirements.txt |
| README.md |
| LICENSE |
| SHA256SUMS |
| ``` |
|
|
| Metadata paths are relative to each collection directory. Use EXRs for numerical analysis; JPEGs are previews. In masks, 255 marks the condition and 0 means unflagged. |
|
|
| ## Usage |
|
|
| From the dataset root: |
|
|
| ```bash |
| pip install -r requirements.txt |
| python load_scene.py --root . --subset full_stokes --scene-id 1 |
| python load_scene.py --root . --subset linear_stokes --scene-id 1 |
| ``` |
|
|
| ```python |
| from load_scene import load_scene |
| |
| scene = load_scene(".", 1, subset="full_stokes") |
| stokes = scene["data"] # float32, (1024, 2048, 3, 4): RGB × S0–S3 |
| valid = ~(scene["saturation_mask"] | scene["privacy_mask"] | scene["invalid_mask"]) |
| ``` |
|
|
| The default representation is `thetaphi`; use `representation="duff"` or `"s2l2"` to select another. S2L2 arrays have shape `(1024, 2048, 3, 12)`. |
|
|
| ## License |
|
|
| Released dataset assets, including RAW, processed data and calibration, are licensed under **[CC BY 4.0](https://creativecommons.org/licenses/by/4.0/)**; see [LICENSE](LICENSE). Withheld data are excluded. Software licensing is separate. |
|
|
| ## Citation |
|
|
| ```bibtex |
| @inproceedings{oh2026penvmap, |
| author = {Oh, Yonghee and Maeda, Ryota and Moon, Yunseong and Baek, Seung-Hwan}, |
| title = {Real-world Polarimetric Environment Map Dataset}, |
| booktitle = {SIGGRAPH Asia 2026 Conference Papers}, |
| year = {2026}, |
| doi = {10.1145/3829340.3842262} |
| } |
| ``` |
|
|
