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Face Swapping

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 )

Papers

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Showing 701–750 of 914 papers

TitleStatusHype
Learning Disentangled Representation for One-shot Progressive Face SwappingCode0
Self-supervised Learning of Adversarial Example: Towards Good Generalizations for Deepfake DetectionCode1
A New Approach to Improve Learning-based Deepfake Detection in Realistic Conditions—0
Making DeepFakes more spurious: evading deep face forgery detection via trace removal attack—0
A Novel Framework for Assessment of Learning-based Detectors in Realistic Conditions with Application to Deepfake Detection—0
Deepfake Style Transfer Mixture: a First Forensic Ballistics Study on Synthetic Images—0
Transferable Class-Modelling for Decentralized Source Attribution of GAN-Generated ImagesCode0
Towards a New Science of Disinformation—0
Fairness Evaluation in Deepfake Detection Models using Metamorphic Testing—0
An Audio-Visual Attention Based Multimodal Network for Fake Talking Face Videos Detection—0
Region-Aware Face Swapping—0
Towards Benchmarking and Evaluating Deepfake Detection—0
The Vicomtech Audio Deepfake Detection System based on Wav2Vec2 for the 2022 ADD Challenge—0
Protecting Celebrities from DeepFake with Identity Consistency TransformerCode1
Self-supervised Transformer for Deepfake Detection—0
MRI-GAN: A Generalized Approach to Detect DeepFakes using Perceptual Image AssessmentCode1
Explainable deepfake and spoofing detection: an attack analysis using SHapley Additive exPlanationsCode1
Human Detection of Political Speech Deepfakes across Transcripts, Audio, and Video—0
FSGANv2: Improved Subject Agnostic Face Swapping and Reenactment—0
Model Attribution of Face-swap Deepfake VideosCode1
Automatic speaker verification spoofing and deepfake detection using wav2vec 2.0 and data augmentationCode1
Deepfake Detection for Facial Images with Facemasks—0
Seeing is Living? Rethinking the Security of Facial Liveness Verification in the Deepfake Era—0
ADD 2022: the First Audio Deep Synthesis Detection Challenge—0
Robust Deepfake On Unrestricted Media: Generation And Detection—0
A Review of Deep Learning-based Approaches for Deepfake Content Detection—0
D4: Detection of Adversarial Diffusion Deepfakes Using Disjoint Ensembles—0
FrePGAN: Robust Deepfake Detection Using Frequency-level Perturbations—0
A new face swap method for image and video domains: a technical reportCode3
Block shuffling learning for Deepfake DetectionCode0
Deepfake pornography as a male gaze on fan culture—0
Crowd-powered Face Manipulation Detection: Fusing Human Examiner Decisions—0
Psychophysical Evaluation of Human Performance in Detecting Digital Face Image Manipulations—0
MobileFaceSwap: A Lightweight Framework for Video Face SwappingCode2
DeepFake Disrupter: The Detector of DeepFake Is My Friend—0
Smooth-Swap: A Simple Enhancement for Face-Swapping with Smoothness—0
ADD: Frequency Attention and Multi-View based Knowledge Distillation to Detect Low-Quality Compressed Deepfake ImagesCode0
Physics guided deep learning generative models for crystal materials discovery—0
Audio Deepfake Perceptions in College Going Populations—0
Contrastive Learning of Global and Local Video Representations—0
How Deep Are the Fakes? Focusing on Audio Deepfake: A Survey—0
A War Beyond Deepfake: Benchmarking Facial Counterfeits and Countermeasures—0
Investigating self-supervised front ends for speech spoofing countermeasuresCode1
FakeTransformer: Exposing Face Forgery From Spatial-Temporal Representation Modeled By Facial Pixel Variations—0
Impact of Benign Modifications on Discriminative Performance of Deepfake Detectors—0
WaveFake: A Data Set to Facilitate Audio Deepfake DetectionCode1
Exposing Deepfake with Pixel-wise AR and PPG Correlation from Faint Signals—0
MC-LCR: Multi-modal contrastive classification by locally correlated representations for effective face forgery detection—0
Explaining deep learning models for spoofing and deepfake detection with SHapley Additive exPlanationsCode1
Attack as the Best Defense: Nullifying Image-to-image Translation GANs via Limit-aware Adversarial AttackCode1
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