HiDDeN: Hiding Data with Deep Networks.
HiDDeN: Hiding Data with Deep Networks. arxiv ECCV 2018
Jiren Zhu*, Russell Kaplan*, Justin Johnson, Li Fei-Fei
*: These authors contributed equally
Warning: This repo is still WIP, let us know if you encounter bugs or issues.
A sample dataset is provided in data/yuv_coco_debug.t7. Afte you download train2014 of COCO dataset, you can use HiDDeN/coco_prep.lua to generate the training dataset.
- With the testing dataset. You can run
th main.lua --develop --name test-run --type float
, training results will be written to checkpoints/test-run.
- If you have cuda setup. You can run
th main.lua --develop --name <experiment name>
instead, as --type cuda is default.
If you have the full dataset, remove the develop flag.
Coming soon...
- Pytorch implementation by Ando Khachatryan: https://github.com/ando-khachatryan/HiDDeN.