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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 751–800 of 914 papers

TitleStatusHype
Real-centric Consistency Learning for Deepfake Detection—0
The Effectiveness of Temporal Dependency in Deepfake Video Detection—0
Exposing Deepfake Face Forgeries with Guided Residuals—0
DefakeHop++: An Enhanced Lightweight Deepfake Detector—0
The MeVer DeepFake Detection Service: Lessons Learnt from Developing and Deploying in the Wild—0
Few-Shot Head Swapping in the Wild—0
Restricted Black-box Adversarial Attack Against DeepFake Face Swapping—0
Leveraging Deepfakes to Close the Domain Gap between Real and Synthetic Images in Facial Capture Pipelines—0
Metamorphic Testing-based Adversarial Attack to Fool Deepfake Detectors—0
On the Exploitation of Deepfake Model Recognition—0
On Improving Cross-dataset Generalization of Deepfake Detectors—0
Practical Digital Disguises: Leveraging Face Swaps to Protect Patient Privacy—0
Does Audio Deepfake Detection Generalize?—0
Attacker Attribution of Audio Deepfakes—0
Learning Disentangled Representation for One-shot Progressive Face SwappingCode0
Making DeepFakes more spurious: evading deep face forgery detection via trace removal attack—0
A New Approach to Improve Learning-based Deepfake Detection in Realistic Conditions—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
Self-supervised Transformer for Deepfake Detection—0
FSGANv2: Improved Subject Agnostic Face Swapping and Reenactment—0
Human Detection of Political Speech Deepfakes across Transcripts, Audio, and Video—0
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
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
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
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
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