Face Transfer
3 papers with code • 0 benchmarks • 1 datasets
Face Transfer is a method for mapping face performances of one individual to facial animations of another one. It uses facial expressions and head poses from the video of a source actor to generate a video of a target character. Face Transfer is a special case of image-to-image translation tasks.
Benchmarks
These leaderboards are used to track progress in Face Transfer
VGGFace2 HQ
Most implemented papers
Inverting face embeddings with convolutional neural networks
pavelgonchar/face-transfer-tensorflow
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Deep neural networks have dramatically advanced the state of the art for many areas of machine learning.
MobileFace: 3D Face Reconstruction with Efficient CNN Regression
Estimation of facial shapes plays a central role for face transfer and animation.
One Shot Face Swapping on Megapixels
zyainfal/One-Shot-Face-Swapping-on-Megapixels
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CVPR 2021
Extensive experiments demonstrate the superiority of MegaFS and the first megapixel level face swapping database is released for research on DeepFake detection and face image editing in the public domain.
