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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 1–10 of 914 papers

TitleStatusHype
SHIELD: A Secure and Highly Enhanced Integrated Learning for Robust Deepfake Detection against Adversarial Attacks—0
MGFFD-VLM: Multi-Granularity Prompt Learning for Face Forgery Detection with VLM—0
CorrDetail: Visual Detail Enhanced Self-Correction for Face Forgery Detection—0
Beyond Spatial Frequency: Pixel-wise Temporal Frequency-based Deepfake Video DetectionCode1
DDL: A Dataset for Interpretable Deepfake Detection and Localization in Real-World Scenarios—0
Post-training for Deepfake Speech DetectionCode1
Pay Less Attention to Deceptive Artifacts: Robust Detection of Compressed Deepfakes on Online Social NetworksCode0
IndieFake Dataset: A Benchmark Dataset for Audio Deepfake Detection—0
SELFI: Selective Fusion of Identity for Generalizable Deepfake Detection—0
Spotting tell-tale visual artifacts in face swapping videos: strengths and pitfalls of CNN detectors—0
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