Face swapping refers to the task of swapping faces between images or in an video, while maintaining the rest of the body and environment context.

( Image credit: Swapped Face Detection using Deep Learning and Subjective Assessment )

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Greatest papers with code

FaceForensics++: Learning to Detect Manipulated Facial Images

ICCV 2019 ondyari/FaceForensics

In particular, the benchmark is based on Deep-Fakes, Face2Face, FaceSwap and NeuralTextures as prominent representatives for facial manipulations at random compression level and size.

FACE SWAPPING IMAGE GENERATION

FaceForensics++: Learning to Detect Manipulated Facial Images

25 Jan 2019ondyari/FaceForensics

In particular, the benchmark is based on DeepFakes, Face2Face, FaceSwap and NeuralTextures as prominent representatives for facial manipulations at random compression level and size.

FACE SWAPPING FAKE IMAGE DETECTION IMAGE GENERATION

Advbox: a toolbox to generate adversarial examples that fool neural networks

13 Jan 2020advboxes/AdvBox

In recent years, neural networks have been extensively deployed for computer vision tasks, particularly visual classification problems, where new algorithms reported to achieve or even surpass the human performance.

FACE RECOGNITION FACE SWAPPING

DeeperForensics-1.0: A Large-Scale Dataset for Real-World Face Forgery Detection

9 Jan 2020EndlessSora/DeeperForensics-1.0

In this paper, we present our on-going effort of constructing a large-scale benchmark, DeeperForensics-1. 0, for face forgery detection.

FACE SWAPPING

MesoNet: a Compact Facial Video Forgery Detection Network

4 Sep 2018DariusAf/MesoNet

This paper presents a method to automatically and efficiently detect face tampering in videos, and particularly focuses on two recent techniques used to generate hyper-realistic forged videos: Deepfake and Face2Face.

FACE SWAPPING FAKE IMAGE DETECTION

Celeb-DF: A New Dataset for DeepFake Forensics

27 Sep 2019danmohaha/celeb-deepfakeforensics

In this work, we present a new DeepFake dataset, Celeb-DF, for the development and evaluation of DeepFake detection algorithms.

DEEPFAKE DETECTION FACE SWAPPING

Exposing DeepFake Videos By Detecting Face Warping Artifacts

1 Nov 2018danmohaha/CVPRW2019_Face_Artifacts

Compared to previous methods which use a large amount of real and DeepFake generated images to train CNN classifier, our method does not need DeepFake generated images as negative training examples since we target the artifacts in affine face warping as the distinctive feature to distinguish real and fake images.

FACE SWAPPING

Learning to Detect Fake Face Images in the Wild

24 Sep 2018jesse1029/Fake-Face-Images-Detection-Tensorflow

Although Generative Adversarial Network (GAN) can be used to generate the realistic image, improper use of these technologies brings hidden concerns.

FACE SWAPPING FAKE IMAGE DETECTION GAN IMAGE FORENSICS IMAGE GENERATION

In Ictu Oculi: Exposing AI Generated Fake Face Videos by Detecting Eye Blinking

7 Jun 2018danmohaha/WIFS2018_In_Ictu_Oculi

The new developments in deep generative networks have significantly improve the quality and efficiency in generating realistically-looking fake face videos.

FACE SWAPPING

Multi-task Learning For Detecting and Segmenting Manipulated Facial Images and Videos

17 Jun 2019nii-yamagishilab/ClassNSeg

The output of one branch of the decoder is used for segmenting the manipulated regions while that of the other branch is used for reconstructing the input, which helps improve overall performance.

FACE SWAPPING MULTI-TASK LEARNING