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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 341–350 of 914 papers

TitleStatusHype
CtrSVDD: A Benchmark Dataset and Baseline Analysis for Controlled Singing Voice Deepfake DetectionCode1
Bileve: Securing Text Provenance in Large Language Models Against Spoofing with Bi-level SignatureCode0
Rank-based No-reference Quality Assessment for Face Swapping—0
Flash Diffusion: Accelerating Any Conditional Diffusion Model for Few Steps Image GenerationCode4
AI-Face: A Million-Scale Demographically Annotated AI-Generated Face Dataset and Fairness BenchmarkCode2
DistilDIRE: A Small, Fast, Cheap and Lightweight Diffusion Synthesized Deepfake DetectionCode1
Text Modality Oriented Image Feature Extraction for Detecting Diffusion-based DeepFake—0
Anonymization Prompt Learning for Facial Privacy-Preserving Text-to-Image Generation—0
A3:Ambiguous Aberrations Captured via Astray-Learning for Facial Forgery Semantic Sublimation—0
UnMarker: A Universal Attack on Defensive Image WatermarkingCode3
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