Face Swapping

43 papers with code • 1 benchmarks • 6 datasets

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 )

Greatest papers with code

DeepFaceLab: Integrated, flexible and extensible face-swapping framework

deepfakes/faceswap 12 May 2020

Deepfake defense not only requires the research of detection but also requires the efforts of generation methods.

Face Swapping

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

deepfakes/faceswap 1 Jan 2020

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 +1

FaceForensics++: Learning to Detect Manipulated Facial Images

ondyari/FaceForensics ICCV 2019

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

ondyari/FaceForensics 25 Jan 2019

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

DeepFake Detection Face Swapping +2

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

advboxes/AdvBox 13 Jan 2020

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 +1

SimSwap: An Efficient Framework For High Fidelity Face Swapping

neuralchen/SimSwap 11 Jun 2021

In contrast to previous approaches that either lack the ability to generalize to arbitrary identity or fail to preserve attributes like facial expression and gaze direction, our framework is capable of transferring the identity of an arbitrary source face into an arbitrary target face while preserving the attributes of the target face.

 Ranked #1 on Face Swapping on FaceForensics++ (ID retrieval metric)

Face Swapping

FaceShifter: Towards High Fidelity And Occlusion Aware Face Swapping

mindslab-ai/faceshifter 31 Dec 2019

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

DariusAf/MesoNet 4 Sep 2018

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 +2