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https://github.com/aerophile/awesome-deepfakes

Everything Deepfakes
https://github.com/aerophile/awesome-deepfakes

List: awesome-deepfakes

awesome computer-vision deepfakes faceswap

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Everything Deepfakes

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# Awesome Deepfakes ![Awesome](https://cdn.rawgit.com/sindresorhus/awesome/d7305f38d29fed78fa85652e3a63e154dd8e8829/media/badge.svg)



# Ethical Use

The purpose of this list is to enhance and promote efforts into research and development and not to promote or aid in the creation of nefarious content. Please read the Manifesto released by the developers of faceswap which covers this in detail. [Click here](https://github.com/deepfakes/faceswap#manifesto) to read it.



# Code Repositories

1. [Faceswap](https://github.com/deepfakes/faceswap) is a tool that utilizes deep learning to recognize and swap faces in pictures and videos based on original u/deepfakes code.



2. [Faceswap2](https://github.com/joshua-wu/deepfakes_faceswap) another repo based on original u/deepfakes code.



3.  [Faceit](https://github.com/goberoi/faceit) a wrapper around Faceswap.



4. [DeepFaceLab](https://github.com/iperov/DeepFaceLab) Another version of faceswap



5. [DeepfakeCapsuleGAN](https://github.com/snknitin/DeepfakeCapsuleGAN) Using Capsule GANs for deepfake generation



6. [Large resolution facemasked](https://github.com/dfaker/df) , weirdly warped, deepfake.



7. [Disrupting Deepfakes](https://github.com/natanielruiz/disrupting-deepfakes): Defending against image translation deepfakes using adversarial attacks.



# Research Papers



1. Deepfake Video Detection Using Recurrent Neural Networks [Paper](https://engineering.purdue.edu/~dgueraco/content/deepfake.pdf)



2.  “Deep Fakes” using Generative Adversarial Networks (GAN) [Paper](http://noiselab.ucsd.edu/ECE228_2018/Reports/Report16.pdf)



3. Exposing DeepFake Videos By Detecting Face Warping Artifacts [Paper](https://arxiv.org/abs/1811.00656)



4. Image Forgery Detection [Paper](https://greghill.io/docs/mlp.pdf)



5. Exposing AI Created Fake Videos by Detecting Eye Blinking [Paper](https://www.albany.edu/faculty/mchang2/files/2018_12_WIFS_EyeBlink_FakeVideos.pdf) 



6. MesoNet: a Compact Facial Video Forgery Detection Network [Paper](https://arxiv.org/abs/1809.00888)



7. Forensics Face Detection From GANs Using Convolutional Neural Network [Paper](https://www.researchgate.net/profile/Tai_Do_Nhu/publication/327905310_Forensics_Face_Detection_From_GANs_Using_Convolutional_Neural_Network/links/5bac84e7a6fdccd3cb768b1c/Forensics-Face-Detection-From-GANs-Using-Convolutional-Neural-Network.pdf)



8. Using Capsule Networks to Detect Forged Images and Videos [Paper](https://arxiv.org/pdf/1810.11215)



9. FakeCatcher: Detection of Synthetic Portrait Videos using Biological Signals [Paper](https://arxiv.org/pdf/1901.02212)



10. FaceForensics++: Learning to Detect Manipulated Facial Images [Paper](https://arxiv.org/pdf/1901.08971.pdf)



11. Deep Video Portraits [Paper](https://arxiv.org/pdf/1805.11714.pdf) [Website](https://gvv.mpi-inf.mpg.de/projects/DeepVideoPortraits/)



12. Disrupting Deepfakes: Adversarial Attacks Against Conditional Image Translation Networks and Facial Manipulation Systems [Code](https://github.com/natanielruiz/disrupting-deepfakes) [Demo](https://www.youtube.com/watch?v=7_7r4Ng4-bE&feature=youtu.be) [Paper](https://arxiv.org/abs/2003.01279)



13. SimSwap: An Efficient Framework For High Fidelity Face Swapping [Paper](https://arxiv.org/pdf/2106.06340v1.pdf) [Website](https://github.com/neuralchen/SimSwap)



# Contributing

Contributions to this list are always welcome!