Deepfakes Software For All

DeepFaceLab is the leading software for creating deepfakes.

DeepNude's algorithm and general image generation theory and practice research, including pix2pix, CycleGAN, UGATIT, DCGAN, SinGAN, ALAE, mGANprior, StarGAN-v2 and VAE models (TensorFlow2 implementation). DeepNude的算法以及通用生成对抗网络（GAN,Generative Adversarial Network）图像生成的理论与实践研究。

Everything Deepfakes

Colab可以免费让你使用深度学习专用显卡Tesla V100 16G 来跑AI换脸哦（原K80,T4，12G），好用的话记右上角点下Star哦，谢谢！ With colab you can use tesla V100 for free. Of course there are some restrictions ；

[CVPR 2020] A Large-Scale Dataset for Real-World Face Forgery Detection

A prize winning solution for DFDC challenge

A curated list of awesome Deepfakes materials

A curated list of GAN & Deepfake papers and repositories.

Towards deepfake detection that actually works

Deep fake ready to train on any 2 pair dataset with higher resolution

DCGAN face generator 🧑.

[ECCV 2018] ReenactGAN: Learning to Reenact Faces via Boundary Transfer

🔥🔥Defending Against Deepfakes Using Adversarial Attacks on Conditional Image Translation Networks

A curated list of articles and codes related to face forgery generation and detection.

Tutorial about the swap-face algorithm

All about Deepfakes & Detection

Detect deep fakes videos

A script for gathering facesets from online videos

This repository contains our POC for a website which can easily check videos for manipulated areas. It was part of the Hackathon for Good in the Hague, 2019.

DeepFake Detection: Detect the video is fake or not using InceptionResNetV2.

Deepfakes Video classification via CNN, LSTM, C3D and triplets

AOT: Appearance Optimal Transport Based Identity Swapping for Forgery Detection (NeurIPS 2020)

List some popular DeepFake models e.g. DeepFake, FaceSwap-MarekKowal, IPGAN, FaceShifter, FaceSwap-Nirkin, FSGAN, etc.

This Repo consists of implementing First order motion model for making Deep Fakes. It is referenced from a video on youtube by Two Minute Papers about Deep Fakes. The code given by @AliaksandrSiarohin

This projects aims in detection of video deepfakes using deep learning techniques like RestNext and LSTM. We have achived deepfake detection by using transfer learning where the pretrained RestNext CNN is used to obtain a feature vector, further the LSTM layer is trained using the features. For more details follow the documentaion.

Code borrowed from censored https://www.reddit.com/user/deepfakes/

Implemented a cloud-based real-time face-swapping tool to swap faces in a video. Used CNN auto-encoder based deepfake algorithm and Google Cloud Platform (GCP) based services - Google App Engine (GAE), Google AI Platform for efficient deployment on cloud

Coursera hand held project to understand the deepfakes using keras (DCGAN)