An effective and reliable method for forgery video detection.
Train ViTHash
python train_h.py --local_rank=0 --path=../Celeb-DF --type=Celeb-DF --hash_bits=512 --pretrained=x
Test ViTHash
python test_h.py --local_rank=0 --path=../Celeb-DF --type=Celeb-DF --hash_bits=512 --pretrained=x
Pretrained models, hash centers and datasets
Item | Link | Comments |
---|---|---|
All Models | BaiduNetdisk | code:i5l1 |
Video Splicing | BaiduNetdisk | code: a9in |
DeepFake | BaiduNetdisk | code: eaj0 |
Video Inpainting | BaiduNetdisk | code: ande Extension ofDAVIS2016 |
The person with different scenes.
Different fake videos are made from the same source.
The first gif of the boat is the original video, and the remaining five videos are generated by different object inpainting methods.
The bird, person, soldier and planes are all spliced by manual.
We have developed an additional tool to compare the difference between real video and fake video. Please see tool