Citation ======== If you use MarkDiffusion in your research, please cite our paper: BibTeX ------ .. code-block:: bibtex @article{pan2025markdiffusion, title={MarkDiffusion: An Open-Source Toolkit for Generative Watermarking of Latent Diffusion Models}, author={Pan, Leyi and Guan, Sheng and Fu, Zheyu and Si, Luyang and Wang, Zian and Hu, Xuming and King, Irwin and Yu, Philip S and Liu, Aiwei and Wen, Lijie}, journal={arXiv preprint arXiv:2509.10569}, year={2025} } APA Style --------- Pan, L., Guan, S., Fu, Z., Si, L., Wang, Z., Hu, X., King, I., Yu, P. S., Liu, A., & Wen, L. (2025). MarkDiffusion: An Open-Source Toolkit for Generative Watermarking of Latent Diffusion Models. *arXiv preprint arXiv:2509.10569*. MLA Style --------- Pan, Leyi, et al. "MarkDiffusion: An Open-Source Toolkit for Generative Watermarking of Latent Diffusion Models." *arXiv preprint arXiv:2509.10569* (2025). Algorithm-Specific Citations ----------------------------- If you use specific algorithms, please also cite their original papers: Tree-Ring Watermark ~~~~~~~~~~~~~~~~~~~ .. code-block:: bibtex @misc{wen2023treeringwatermarksfingerprintsdiffusion, title={Tree-Ring Watermarks: Fingerprints for Diffusion Images that are Invisible and Robust}, author={Yuxin Wen and John Kirchenbauer and Jonas Geiping and Tom Goldstein}, year={2023}, eprint={2305.20030}, archivePrefix={arXiv}, primaryClass={cs.LG}, url={https://arxiv.org/abs/2305.20030}, } Ring-ID ~~~~~~~ .. code-block:: bibtex @article{ci2024ringid, title={RingID: Rethinking Tree-Ring Watermarking for Enhanced Multi-Key Identification}, author={Ci, Hai and Yang, Pei and Song, Yiren and Shou, Mike Zheng}, journal={arXiv preprint arXiv:2404.14055}, year={2024} } ROBIN ~~~~~ .. code-block:: bibtex @inproceedings{huangrobin, title={ROBIN: Robust and Invisible Watermarks for Diffusion Models with Adversarial Optimization}, author={Huang, Huayang and Wu, Yu and Wang, Qian}, booktitle={The Thirty-eighth Annual Conference on Neural Information Processing Systems} } WIND ~~~~ .. code-block:: bibtex @article{arabi2024hidden, title={Hidden in the Noise: Two-Stage Robust Watermarking for Images}, author={Arabi, Kasra and Feuer, Benjamin and Witter, R Teal and Hegde, Chinmay and Cohen, Niv}, journal={arXiv preprint arXiv:2412.04653}, year={2024} } SFW ~~~ .. code-block:: bibtex @inproceedings{lee2025semantic, title={Semantic Watermarking Reinvented: Enhancing Robustness and Generation Quality with Fourier Integrity}, author={Lee, Sung Ju and Cho, Nam Ik}, booktitle={Proceedings of the IEEE/CVF International Conference on Computer Vision}, pages={18759--18769}, year={2025} } Gaussian-Shading ~~~~~~~~~~~~~~~~ .. code-block:: bibtex @article{yang2024gaussian, title={Gaussian Shading: Provable Performance-Lossless Image Watermarking for Diffusion Models}, author={Yang, Zijin and Zeng, Kai and Chen, Kejiang and Fang, Han and Zhang, Weiming and Yu, Nenghai}, journal={arXiv preprint arXiv:2404.04956}, year={2024}, } GaussMarker ~~~~~~~~~~~ .. code-block:: bibtex @misc{li2025gaussmarkerrobustdualdomainwatermark, title={GaussMarker: Robust Dual-Domain Watermark for Diffusion Models}, author={Kecen Li and Zhicong Huang and Xinwen Hou and Cheng Hong}, year={2025}, eprint={2506.11444}, archivePrefix={arXiv}, primaryClass={cs.CR}, url={https://arxiv.org/abs/2506.11444}, } PRC ~~~ .. code-block:: bibtex @article{gunn2025undetectable, title={An undetectable watermark for generative image models}, author={Gunn, Sam and Zhao, Xuandong and Song, Dawn}, journal={arXiv preprint arXiv:2410.07369}, year={2024} } SEAL ~~~~ .. code-block:: bibtex @article{arabi2025seal, title={SEAL: Semantic Aware Image Watermarking}, author={Arabi, Kasra and Witter, R Teal and Hegde, Chinmay and Cohen, Niv}, journal={arXiv preprint arXiv:2503.12172}, year={2025} } VideoShield ~~~~~~~~~~~ .. code-block:: bibtex @inproceedings{hu2025videoshield, title={VideoShield: Regulating Diffusion-based Video Generation Models via Watermarking}, author={Runyi Hu and Jie Zhang and Yiming Li and Jiwei Li and Qing Guo and Han Qiu and Tianwei Zhang}, booktitle={International Conference on Learning Representations (ICLR)}, year={2025} } VideoMark ~~~~~~~~~ .. code-block:: bibtex @article{hu2025videomark, title={VideoMark: A Distortion-Free Robust Watermarking Framework for Video Diffusion Models}, author={Hu, Xuming and Li, Hanqian and Li, Jungang and Liu, Aiwei}, journal={arXiv preprint arXiv:2504.16359}, year={2025} } Acknowledgments --------------- We would like to thank: - All contributors to the MarkDiffusion project - The authors of the watermarking algorithms implemented in this toolkit - The open-source community for their valuable feedback and contributions - Research institutions supporting this work Using MarkDiffusion in Publications ------------------------------------ When using MarkDiffusion in your research: 1. **Cite the main MarkDiffusion paper** (required) 2. **Cite specific algorithm papers** you use (required) 3. **Mention the toolkit in your acknowledgments** 4. **Link to the GitHub repository** Example acknowledgment text: *"This research utilized MarkDiffusion [1], an open-source toolkit for generative watermarking. We specifically employed the Gaussian-Shading algorithm [2] for watermark embedding and detection."* License ------- MarkDiffusion is released under the MIT License. See the LICENSE file for details. When using MarkDiffusion, please ensure compliance with the licenses of: - Individual watermarking algorithms - Pre-trained models - Datasets used for evaluation Contact ------- For questions about citation or collaboration: - **GitHub**: https://github.com/THU-BPM/MarkDiffusion - **Paper**: https://arxiv.org/abs/2509.10569 - **Homepage**: https://generative-watermark.github.io/ Updates ------- This citation information was last updated: November 2025 For the most up-to-date citation information, please check: - The project README - The paper on arXiv - The project homepage