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cs.CV2025
InvZW: Invariant Feature Learning via Noise-Adversarial Training for Robust Image Zero-Watermarking
Abdullah All Tanvir, Frank Y. Shih, Xin Zhong
This paper introduces a novel deep learning framework for robust image zero-watermarking based on distortion-invariant feature learning. As a zero-watermarking scheme, our method l…
cs.CV2025
Text-Guided Image Invariant Feature Learning for Robust Image Watermarking
Muhammad Ahtesham, Xin Zhong
Ensuring robustness in image watermarking is crucial for and maintaining content integrity under diverse transformations. Recent self-supervised learning (SSL) approaches, such as…