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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

Showing 126150 of 914 papers

TitleStatusHype
Deepfake for the Good: Generating Avatars through Face-Swapping with Implicit Deepfake GenerationCode1
Deepfake Videos in the Wild: Analysis and DetectionCode1
Deepfake Video Detection Using Generative Convolutional Vision TransformerCode1
DeepFidelity: Perceptual Forgery Fidelity Assessment for Deepfake DetectionCode1
Deepfake Text Detection: Limitations and OpportunitiesCode1
A Convolutional LSTM based Residual Network for Deepfake Video DetectionCode1
Deepfake Video Detection Using Convolutional Vision TransformerCode1
DefakeHop: A Light-Weight High-Performance Deepfake DetectorCode1
Circumventing shortcuts in audio-visual deepfake detection datasets with unsupervised learningCode1
Adversarial Perturbations Fool Deepfake DetectorsCode1
DeepFakesON-Phys: DeepFakes Detection based on Heart Rate EstimationCode1
Deepfake Media Generation and Detection in the Generative AI Era: A Survey and OutlookCode1
Deepfake Forensics via An Adversarial GameCode1
DeepFake MNIST+: A DeepFake Facial Animation DatasetCode1
Defense Against Adversarial Attacks on Audio DeepFake DetectionCode1
DeepFake-Adapter: Dual-Level Adapter for DeepFake DetectionCode1
Adversarial Magnification to Deceive Deepfake Detection through Super ResolutionCode1
Can ChatGPT Detect DeepFakes? A Study of Using Multimodal Large Language Models for Media ForensicsCode1
DeeperForensics-1.0: A Large-Scale Dataset for Real-World Face Forgery DetectionCode1
A Continual Deepfake Detection Benchmark: Dataset, Methods, and EssentialsCode1
Celeb-DF: A Large-scale Challenging Dataset for DeepFake ForensicsCode1
Deepfake Detection Scheme Based on Vision Transformer and DistillationCode1
Circumventing Concept Erasure Methods For Text-to-Image Generative ModelsCode1
D^3: Scaling Up Deepfake Detection by Learning from DiscrepancyCode1
Analyzing Fairness in Deepfake Detection With Massively Annotated DatabasesCode1
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