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license: cc-by-nc-4.0
pretty_name: PRISM
---
# PRISM
This dataset is released under the CC BY-NC 4.0 License.
## Dataset Structure
After extracting the archives, the dataset has the following layout:
```text
PRISM/
train/
input/
<gt_id>_<variant_id>.png
gt/
<gt_id>.png
test/
input/
<gt_id>_<variant_id>.png
gt/
<gt_id>.png
real-world-image/
image_001.png
...
```
Each image in `input/` is a moire-contaminated fabric image. Its clean target is stored in `gt/` and is matched by the prefix before the underscore.
For example:
```text
train/input/000517_04.png -> train/gt/000517.png
test/input/001174_09.png -> test/gt/001174.png
```
One clean ground-truth image may correspond to multiple synthesized moire variants.
The `real-world-image/` folder contains unpaired real-world moire images for qualitative evaluation.
## Split Statistics
```text
Split Moire inputs Clean GT images
train 14,587 1,783
test 1,463 180
total 16,050 1,963
```
The number of paired samples is the number of files in `input/`, because each input image has one aligned clean target.
## Download and Verification
The test split is provided as `PRISM_test.zip`. Real-world images are provided
as `real-world-image.zip`. The training split is provided as parts under
`train_chunks/` and must be concatenated into `PRISM_train.zip` before
extraction.
SHA-256 checksums for the test archive, the real-world archive, all training
parts, and the reconstructed training archive are provided in `sha256sum.txt`.
Verify the downloaded files:
```bash
sha256sum -c sha256sum.txt --ignore-missing
```
Reconstruct the training archive from the split files:
```bash
cat train_chunks/PRISM_train.zip.part-* > PRISM_train.zip
```
Verify the reconstructed archive:
```bash
sha256sum -c sha256sum.txt --ignore-missing
```
Then extract the archives:
```bash
unzip PRISM_train.zip
unzip PRISM_test.zip
unzip real-world-image.zip
```
## Usage Notes
- Images are stored as RGB PNG files.
- The train/test split is fixed and should be kept unchanged for reproducible evaluation.
- Evaluation should be performed on `test/input/` using the corresponding targets in `test/gt/`.
- The filename prefix before `_` determines the ground-truth image ID.
## Citation
If you use PRISM, please cite the corresponding paper:
```bibtex
@inproceedings{wei2026fabric,
title = {Fabric Image Demoir{\'e}ing Benchmark from Synthesis to Restoration},
author = {Wei, Pengchao and Guo, Xiaojie},
booktitle = {European Conference on Computer Vision},
year = {2026}
}
```
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