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:

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:

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

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:

sha256sum -c sha256sum.txt --ignore-missing

Reconstruct the training archive from the split files:

cat train_chunks/PRISM_train.zip.part-* > PRISM_train.zip

Verify the reconstructed archive:

sha256sum -c sha256sum.txt --ignore-missing

Then extract the archives:

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:

@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}
}