computer-vision
Face Swapping
3260 papers • 126 benchmarks • 313 datasets
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 )
(Image credit: Papersgraph)
Benchmarks
These leaderboards are used to track progress in face-swapping
Trend
Dataset
Best Model
Actions
FaceForensics++
FaceForensics++
AFLW2000-3D
AFLW2000-3D
Libraries
iUse these libraries to find face-swapping models and implementations
3 papers 432
Datasets
Subtasks
No subtasks available.
Most implemented papers
FaceForensics++: Learning to Detect Manipulated Facial Images
M. Nießner, C. Riess, Justus Thies, D. Cozzolino, L. Verdoliva, Andreas Rössler•Thu Jan 24 2019
This paper proposes an automated benchmark for facial manipulation detection, and shows that the use of additional domain-specific knowledge improves forgery detection to unprecedented accuracy, even in the presence of strong compression, and clearly outperforms human observers.
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