TrustMark: Robust Watermarking and Watermark Removal for Arbitrary Resolution Images
Abstract
Imperceptible digital watermarking is important in copyright protection, misinformation prevention, and responsible generative AI. We propose TrustMark - a watermarking method that leverages a spatio-spectral loss function and a 1x1 convolution layer to enhance encoding quality. TrustMark is robust against both in-place and out-of-place perturbations while maintaining image quality above 43 dB. Additionally, we propose ReMark, a watermark removal method designed for re-watermarking, along with a simple yet effective algorithm that enables both TrustMark and ReMark to operate across arbitrary resolutions. Our methods achieve state-of-art performance on 3 benchmarks.
Cite
Text
Bui et al. "TrustMark: Robust Watermarking and Watermark Removal for Arbitrary Resolution Images." International Conference on Computer Vision, 2025.Markdown
[Bui et al. "TrustMark: Robust Watermarking and Watermark Removal for Arbitrary Resolution Images." International Conference on Computer Vision, 2025.](https://mlanthology.org/iccv/2025/bui2025iccv-trustmark/)BibTeX
@inproceedings{bui2025iccv-trustmark,
title = {{TrustMark: Robust Watermarking and Watermark Removal for Arbitrary Resolution Images}},
author = {Bui, Tu and Agarwal, Shruti and Collomosse, John},
booktitle = {International Conference on Computer Vision},
year = {2025},
pages = {18629-18639},
url = {https://mlanthology.org/iccv/2025/bui2025iccv-trustmark/}
}