Search Results for author:
Found 3 papers, 0 papers with code
Achieving Resolution-Agnostic DNN-based Image Watermarking:A Novel Perspective of Implicit Neural Representation
Unlike previous methods, our method does not rely on the previous reduction process by directly watermarking the continuous signal instead of image pixels, thus achieving resolution-agnostic watermarking.
Towards Function Space Mesh Watermarking: Protecting the Copyright of Signed Distance Fields
Our method can recover the message with high-resolution meshes extracted from SDFs and detect the watermark even when mesh vertices are extremely sparse.
Deep Boosting Robustness of DNN-based Image Watermarking via DBMark
In this paper, we propose DBMARK, a novel end-to-end digital image watermarking framework to deep boost the robustness of DNN-based image watermarking.
Cannot find the paper you are looking for? You can
Submit a new open access paper.
