Analytic Catalog

This Project is designed for GAN generated/manipulated image detection for eval4 of SemaFor. Single image frames extracted from videos in the following training dataset were used for training: https://openaccess.thecvf.com/content_CVPR_2020/papers/Li_Celeb-DF_A_Large-Scale_Challenging_Dataset_for_DeepFake_Forensics_CVPR_2020_paper.pdf

The detection architecture was designed on the MediFor program to detect DeepFake videos, using all frames of a video: https://github.com/yuezunli/DSP-FWA

Supported media types: Video

Shan Jia (University at Buffalo, SUNY) shanjia@buffalo.edu

Arslan Basharat (Kitware) semafor-sid-software@kitware.com

Source code: https://github.com/yuezunli/DSP-FWA

License: Creative Commons