TrustMark: Robust Watermarking and Watermark Removal for Arbitrary Resolution Images

Tu Bui, Shruti Agarwal, John Collomosse; Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV), 2025, pp. 18629-18639

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.