WenhaoWang/D-Rep

Summary

This is the dataset proposed in our paper Image Copy Detection for Diffusion Models (NeurIPS 2024).

D-Rep consists of 40, 000 image-replica pairs, in which each replica is generated by a diffusion model. The 40, 000 image-replica pairs are manually labeled with 6 replication levels ranging from 0 (no replication) to 5 (total replication). We divide D-Rep into a training set with 90% (36, 000) pairs and a test set with the remaining 10% (4, 000) pairs.

Download

Automatical

Install the datasets library first, by:

pip install datasets

Then it can be downloaded automatically with

from datasets import load_dataset
dataset = load_dataset('WenhaoWang/D-Rep')

Manual

You can also download each file by wget:

wget https://huggingface.co/datasets/WenhaoWang/D-Rep/resolve/main/training_pairs.tar
wget https://huggingface.co/datasets/WenhaoWang/D-Rep/resolve/main/test_pairs.tar
wget https://huggingface.co/datasets/WenhaoWang/D-Rep/resolve/main/labels.csv

Curators

D-Rep is created by Wenhao Wang, Dr. Yifan Sun, Zhentao Tan and Professor Yi Yang.

License

We release our D-Rep under the CC-BY-NC-4.0 license.

Helpful Links

The project homepage: https://icdiff.github.io/

The code of image copy detection for diffusion models: https://github.com/WangWenhao0716/PDF-Embedding

The official reviews of our paper: https://openreview.net/forum?id=gvlOQC6oP1

The Arxiv: https://arxiv.org/abs/2409.19952

Citation

@article{wang2024icdiff,
  title={Image Copy Detection for Diffusion Models},
  author={Wang, Wenhao and Sun, Yifan and Tan, Zhentao and Yang, Yi},
  booktitle={Thirty-eighth Conference on Neural Information Processing Systems},
  year={2024},
  url={https://openreview.net/forum?id=gvlOQC6oP1}
}

Contact

If you have any questions, feel free to contact Wenhao Wang (wangwenhao0716@gmail.com).