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

DeepFaceLab: A simple, flexible and extensible face swapping framework

12 May 2020deepfakes/faceswap

DeepFaceLab is an open-source deepfake system created by \textbf{iperov} for face swapping with more than 3, 000 forks and 13, 000 stars in Github: it provides an imperative and easy-to-use pipeline for people to use with no comprehensive understanding of deep learning framework or with model implementation required, while remains a flexible and loose coupling structure for people who need to strengthen their own pipeline with other features without writing complicated boilerplate code.

FACE SWAPPING

DeepFakes and Beyond: A Survey of Face Manipulation and Fake Detection

1 Jan 2020deepfakes/faceswap

The free access to large-scale public databases, together with the fast progress of deep learning techniques, in particular Generative Adversarial Networks, have led to the generation of very realistic fake content with its corresponding implications towards society in this era of fake news.

DEEPFAKE DETECTION FACE GENERATION FACE SWAPPING

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

CVPR 2020 EndlessSora/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

FaceShifter: Towards High Fidelity And Occlusion Aware Face Swapping

31 Dec 2019taotaonice/FaceShifter

We propose a novel attributes encoder for extracting multi-level target face attributes, and a new generator with carefully designed Adaptive Attentional Denormalization (AAD) layers to adaptively integrate the identity and the attributes for face synthesis.

FACE GENERATION 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.

DEEPFAKE DETECTION FACE SWAPPING FAKE IMAGE DETECTION IMAGE FORENSICS

Celeb-DF: A Large-scale Challenging Dataset for DeepFake Forensics

CVPR 2020 danmohaha/celeb-deepfakeforensics

AI-synthesized face-swapping videos, commonly known as DeepFakes, is an emerging problem threatening the trustworthiness of online information.

DEEPFAKE DETECTION FACE SWAPPING