Skip to content

The Pytorch Implement of 'Frequency-Guided Iterative Network for Image Steganography'

Notifications You must be signed in to change notification settings

xinch3nwang/FIS

Folders and files

NameName
Last commit message
Last commit date

Latest commit

 

History

14 Commits
 
 
 
 
 
 
 
 
 
 
 
 

Repository files navigation

Frequency-Guided Iterative Network for Image Steganography (FIS)

The implementation of "Frequency-Guided Iterative Network for Image Steganography".

Getting Started

Prerequisites

Environment

  • Python >= 3.6
  • PyTorch >= 1.10.2

Datasets

Download the datasets subsampled image datasets (same as LISO). It is the subset of Div2k, CelebA, and MS COCO. To use them, set your dataset path in the 'utils.py'.

Training

python main.py --bits 2 --dataset div2k

Evaluation

python main.py --eval --bits 2 --dataset div2k --load checkpoints/div2k/2_bits.steg

Running Example

This is the running example of my project. example.png

Acknowledgements

About

The Pytorch Implement of 'Frequency-Guided Iterative Network for Image Steganography'

Topics

Resources

Stars

Watchers

Forks

Releases

No releases published

Packages

No packages published

Languages