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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 161–170 of 914 papers

TitleStatusHype
FreqDebias: Towards Generalizable Deepfake Detection via Consistency-Driven Frequency Debiasing—0
D^3: Scaling Up Deepfake Detection by Learning from DiscrepancyCode1
Knowledge-Guided Prompt Learning for Deepfake Facial Image Detection—0
Inclusion 2024 Global Multimedia Deepfake Detection Challenge: Towards Multi-dimensional Face Forgery Detection—0
Towards Identity-Aware Cross-Modal Retrieval: a Dataset and a BaselineCode0
Generalize Your Face Forgery Detectors: An Insertable Adaptation Module Is All You Need—0
Distilled Transformers with Locally Enhanced Global Representations for Face Forgery Detection—0
A Large-scale Interpretable Multi-modality Benchmark for Facial Image Forgery Localization—0
Investigating Prosodic Signatures via Speech Pre-Trained Models for Audio Deepfake Source Attribution—0
Data-Driven Fairness Generalization for Deepfake Detection—0
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