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AIGIV: Artificial Intelligence Image/Video Generation and Detection

Real-world Scenarios

preparation

Environment

Creating a conda environment named pytorch

conda create -n pytorch python=3.7

Install the required dependency packages. Given in requirements.txt.

Pretrained models

StarGANv2.

bash download.sh celeba-hq-dataset
bash download.sh pretrained-network-celeba-hq
bash download.sh wing

HiSD. Put it in Free_manipulation_system\HiSD\checkpoints

HFGI. Put it in Free_manipulation_system\HFGI\checkpoint

SimSwap. Put them in DF-RAP/SimSwap/arcface_model/ and DF-RAP/SimSwap/checkpoints/ .

Usage

running run.bat.

If you need to call it in your script, you can use the following:

from manipulation import manipulate
manipulate(original_path, algorithm, dev, reference_path, reference)

Acknowledgements

https://github.com/clovaai/stargan-v2

https://github.com/imlixinyang/HiSD

https://github.com/Tengfei-Wang/HFGI

https://github.com/neuralchen/SimSwap

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