A poor attempt to implement a DeepFake/FaceSwap using Pytorch and OpenCV
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Updated
May 14, 2020 - Python
A poor attempt to implement a DeepFake/FaceSwap using Pytorch and OpenCV
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BMSTU Bachelor's Graduate Qualification Work
Replication code for the paper 'Towards DeepFake video forensics based on facial textural disparities in multi-color channels'
one-click face swap
Official code for the paper "Adversarial Magnification to Deceive Deepfake Detection through Super Resolution"
Fastest way to generate and detect deepfakes. Contribute to help keep humanity safe
Level 5 MSci dissertation project "Implementation and Evaluation of a Tool for DeepFake Obfuscation".
This repo is an usage example of OpenFace model. We focus on fake detection in videos. The videos are processed and predicted as real or fake based on the person captured.
Codes for my homework project DeepFake Detection.
Generate synthetic image using DCGAN on fashion mnist data
对发表于2019 BTAS的DeepFake方向论文Multi-task Learning For Detecting and Segmenting Manipulated Facial Images and Videos进行复现并分析作者提出的模型的优缺点。
This is Unofficial Repo. Lips Don't Lie: A Generalisable and Robust Approach to Face Forgery Detection (CVPR 2021)
Batch/bulk extract each frame from video files.
This is a deepfake tool that implements the swapping and restoration of faces in images and videos by InsightFace and GFPGAN solutions.
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