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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 201–225 of 914 papers

TitleStatusHype
Facial Features Matter: a Dynamic Watermark based Proactive Deepfake Detection Approach—0
Time Step Generating: A Universal Synthesized Deepfake Image DetectorCode0
DiMoDif: Discourse Modality-information Differentiation for Audio-visual Deepfake Detection and LocalizationCode0
How Good is ChatGPT at Audiovisual Deepfake Detection: A Comparative Study of ChatGPT, AI Models and Human Perception—0
Adaptive Meta-Learning for Robust Deepfake Detection: A Multi-Agent Framework to Data Drift and Model GeneralizationCode0
Understanding Audiovisual Deepfake Detection: Techniques, Challenges, Human Factors and Perceptual Insights—0
Toward Transdisciplinary Approaches to Audio Deepfake Discernment—0
Impact of Fake News on Social Media Towards Public Users of Different Age Groups—0
A Quality-Centric Framework for Generic Deepfake Detection—0
Unexploited Information Value in Human-AI Collaboration—0
Face Anonymization Made SimpleCode3
I Can Hear You: Selective Robust Training for Deepfake Audio Detection—0
DIP: Diffusion Learning of Inconsistency Pattern for General DeepFake Detection—0
FuseAnyPart: Diffusion-Driven Facial Parts Swapping via Multiple Reference ImagesCode1
FakeFormer: Efficient Vulnerability-Driven Transformers for Generalisable Deepfake DetectionCode0
Audio Deepfake Detection with Self-Supervised XLS-R and SLS ClassifierCode2
Mitigating Unauthorized Speech Synthesis for Voice ProtectionCode1
Meta-Learning Approaches for Improving Detection of Unseen Speech Deepfakes—0
ODDN: Addressing Unpaired Data Challenges in Open-World Deepfake Detection on Online Social NetworksCode1
SLIC: Secure Learned Image Codec through Compressed Domain Watermarking to Defend Image Manipulation—0
Towards General Deepfake Detection with Dynamic Curriculum—0
Capture Artifacts via Progressive Disentangling and Purifying Blended Identities for Deepfake Detection—0
Prompt Tuning for Audio Deepfake Detection: Computationally Efficient Test-time Domain Adaptation with Limited Target DatasetCode1
Quantum-Trained Convolutional Neural Network for Deepfake Audio Detection—0
Deepfake detection in videos with multiple faces using geometric-fakeness features—0
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