Deepfakes Software For All
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Updated
May 12, 2022 - Python
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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。
An arbitrary face-swapping framework on images and videos with one single trained model!
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 ;
A prize winning solution for DFDC challenge
[CVPR 2020] A Large-Scale Dataset for Real-World Face Forgery Detection
Towards deepfake detection that actually works
A curated list of awesome Deepfakes materials
A curated list of articles and codes related to face forgery generation and detection.
A curated list of GAN & Deepfake papers and repositories.
DCGAN face generator
[ECCV 2018] ReenactGAN: Learning to Reenact Faces via Boundary Transfer
All about Deepfakes & Detection
Tutorial about the swap-face algorithm
Deepfake Scanner by Deepware.
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.
Detect deep fakes videos
DeepFake Detection: Detect the video is fake or not using InceptionResNetV2.
Deepfakes Video classification via CNN, LSTM, C3D and triplets
Determine whether a given video sequence has been manipulated or synthetically generated
A list of tools, papers and code related to Deepfake Detection.
Code for Video Deepfake Detection model from "Combining EfficientNet and Vision Transformers for Video Deepfake Detection" available on Arxiv and was submitted to ICIAP 2021.
AOT: Appearance Optimal Transport Based Identity Swapping for Forgery Detection (NeurIPS 2020)
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
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