cnarutox / RDH-in-Color-Image-With-Grayscale-InvarianceLinks
Reversible Data Hiding in Color Image With Grayscale Invariance
☆37Updated 2 years ago
Alternatives and similar repositories for RDH-in-Color-Image-With-Grayscale-Invariance
Users that are interested in RDH-in-Color-Image-With-Grayscale-Invariance are comparing it to the libraries listed below
Sorting:
- Official pytorch implementation of paper "Image Disentanglement Autoencoder for Steganography without Embedding" (CVPR2022).☆49Updated 3 years ago
- Official code for UDH: Universal Deep Hiding for Steganography, Watermarking, and Light Field Messaging (Accepted at NeurIPS2020).☆121Updated 4 years ago
- ☆52Updated 2 years ago
- The codes for the paper "A Novel Two-stage Separable Deep Learning Framework for Practical Blind Watermarking"☆51Updated 5 years ago
- This is the source code of paper MBRS : Enhancing Robustness of DNN-based Watermarking by Mini-Batch of Real and Simulated JPEG Compressi…☆108Updated last year
- Official PyTorch implementation of "HiNet: Deep Image Hiding by Invertible Network" (ICCV 2021)☆197Updated 3 years ago
- Hiding Images in Plain Sight: Deep Steganography☆39Updated 7 years ago
- StegaStamp of pytorch version☆68Updated 2 years ago
- Implementation of "Invisible Steganography via Generative Adversarial Networks" (https://arxiv.org/abs/1807.08571)☆66Updated 7 years ago
- ☆94Updated 4 years ago
- FangHanNUS / PIMoG-An-Effective-Screen-shooting-Noise-Layer-Simulation-for-Deep-Learning-Based-Watermarking-NetwThis is the code for paper: ``PIMoG : An Effective Screen-shooting Noise-Layer Simulation for Deep-Learning-Based Watermarking Network. .…☆71Updated 3 years ago
- core code for High-Capacity Convolutional Video Steganography with Temporal Residual Modeling☆63Updated 4 years ago
- A Siamese CNN for Image Steganalysis☆79Updated 5 years ago
- This is the source code of paper FIN: Flow-based Robust Watermarking with Invertible Noise Layer for Black-box Distortions, which is rece…☆63Updated last year
- RoSteALS: Robust Steganography using Autoencoder Latent Space