- PyTorch-1.4+
Install the required packages by:
pip install -r requirements.txt
Pretrained models can be downloaded from drive link
python main.py --dataset usc --ckpt ./ckpt/three_channel.pkl [--plot]
--plot
flag will save the output images in fig/
directory.
python main.py --dataset [casia/como] --ckpt ./ckpt/single_channel.pkl [--plot]
Put forged images in images/
folder, and run
python run_on_folder.py --ckpt [model_weight_file] --out-channel [1 or 3]
e.g.,
python run_on_folder.py --ckpt ./ckpt/three_channel.pkl --out-channel 3
The output masks will be saved in fig_test_folder
folder.
@InProceedings{Islam_2020_CVPR,
author = {Islam, Ashraful and Long, Chengjiang and Basharat, Arslan and Hoogs, Anthony},
title = {DOA-GAN: Dual-Order Attentive Generative Adversarial Network for Image Copy-Move Forgery Detection and Localization},
booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2020}
}