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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 461–470 of 914 papers

TitleStatusHype
Limited Data, Unlimited Potential: A Study on ViTs Augmented by Masked AutoencodersCode1
AntifakePrompt: Prompt-Tuned Vision-Language Models are Fake Image DetectorsCode1
Dual Defense: Adversarial, Traceable, and Invisible Robust Watermarking against Face Swapping—0
Deepfake Detection: Leveraging the Power of 2D and 3D CNN Ensembles—0
E4S: Fine-grained Face Swapping via Editing With Regional GAN InversionCode1
A Universal Anti-Spoofing Approach for Contactless Fingerprint Biometric Systems—0
Learning Through AI-Clones: Enhancing Self-Perception and Presentation Performance—0
AVTENet: Audio-Visual Transformer-based Ensemble Network Exploiting Multiple Experts for Video Deepfake Detection—0
ExtSwap: Leveraging Extended Latent Mapper for Generating High Quality Face SwappingCode1
Improving Video Deepfake Detection: A DCT-Based Approach with Patch-Level Analysis—0
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