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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 251–300 of 914 papers

TitleStatusHype
Rehearsal with Auxiliary-Informed Sampling for Audio Deepfake DetectionCode0
BanglaFake: Constructing and Evaluating a Specialized Bengali Deepfake Audio DatasetCode0
WWW: Where, Which and Whatever Enhancing Interpretability in Multimodal Deepfake DetectionCode0
Back-in-Time Diffusion: Unsupervised Detection of Medical DeepfakesCode0
Practical Manipulation Model for Robust Deepfake DetectionCode0
PolyGlotFake: A Novel Multilingual and Multimodal DeepFake DatasetCode0
Preserving AUC Fairness in Learning with Noisy Protected GroupsCode0
On the Exploitation of DCT-Traces in the Generative-AI DomainCode0
AWARE-NET: Adaptive Weighted Averaging for Robust Ensemble Network in Deepfake DetectionCode0
Open-Set Deepfake Detection: A Parameter-Efficient Adaptation Method with Forgery Style MixtureCode0
ADD: Frequency Attention and Multi-View based Knowledge Distillation to Detect Low-Quality Compressed Deepfake ImagesCode0
On Face Segmentation, Face Swapping, and Face PerceptionCode0
One-Class Learning with Adaptive Centroid Shift for Audio Deepfake DetectionCode0
Multi-task Learning For Detecting and Segmenting Manipulated Facial Images and VideosCode0
2D-Malafide: Adversarial Attacks Against Face Deepfake Detection SystemsCode0
Multiverse Through Deepfakes: The MultiFakeVerse Dataset of Person-Centric Visual and Conceptual ManipulationsCode0
Deepfake Detection and the Impact of Limited Computing CapabilitiesCode0
Multi-spectral Class Center Network for Face Manipulation Detection and LocalizationCode0
An adversarial attack approach for eXplainable AI evaluation on deepfake detection modelsCode0
Neural Codec Source Tracing: Toward Comprehensive Attribution in Open-Set ConditionCode0
Pay Less Attention to Deceptive Artifacts: Robust Detection of Compressed Deepfakes on Online Social NetworksCode0
A Multi-Stream Fusion Approach with One-Class Learning for Audio-Visual Deepfake DetectionCode0
Measuring the Robustness of Audio Deepfake DetectorsCode0
Malafide: a novel adversarial convolutive noise attack against deepfake and spoofing detection systemsCode0
A Dataless FaceSwap Detection Approach Using Synthetic ImagesCode0
Lip Sync Matters: A Novel Multimodal Forgery DetectorCode0
Deep Convolutional Pooling Transformer for Deepfake DetectionCode0
Decoupling Forgery Semantics for Generalizable Deepfake DetectionCode0
Learning Disentangled Representation for One-shot Progressive Face SwappingCode0
Learning Pairwise Interaction for Generalizable DeepFake DetectionCode0
LoRAX: LoRA eXpandable Networks for Continual Synthetic Image AttributionCode0
Penny-Wise and Pound-Foolish in Deepfake DetectionCode0
TAR: Generalized Forensic Framework to Detect Deepfakes using Weakly Supervised LearningCode0
Individualized Deepfake Detection Exploiting Traces Due to Double Neural-Network OperationsCode0
Audio Codec Augmentation for Robust Collaborative Watermarking of Speech SynthesisCode0
Improving the Perturbation-Based Explanation of Deepfake Detectors Through the Use of Adversarially-Generated SamplesCode0
Improved Xception with Dual Attention Mechanism and Feature Fusion for Face Forgery DetectionCode0
How Generalizable are Deepfake Image Detectors? An Empirical StudyCode0
CoReD: Generalizing Fake Media Detection with Continual Representation using DistillationCode0
GRACE: Graph-Regularized Attentive Convolutional Entanglement with Laplacian Smoothing for Robust DeepFake Video DetectionCode0
Adaptive Meta-Learning for Robust Deepfake Detection: A Multi-Agent Framework to Data Drift and Model GeneralizationCode0
Generated Graph DetectionCode0
GM-DF: Generalized Multi-Scenario Deepfake DetectionCode0
Herd Mentality in Augmentation -- Not a Good Idea! A Robust Multi-stage Approach towards Deepfake DetectionCode0
FSGAN: Subject Agnostic Face Swapping and ReenactmentCode0
Deepfake Detection by Human Crowds, Machines, and Machine-informed CrowdsCode0
Heterogeneity over Homogeneity: Investigating Multilingual Speech Pre-Trained Models for Detecting Audio DeepfakeCode0
Latent Space Factorisation and Manipulation via Matrix Subspace ProjectionCode0
Few-Shot Speech Deepfake Detection Adaptation with Gaussian ProcessesCode0
Aggregating Layers for Deepfake DetectionCode0
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