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https://github.com/iperov/DeepFaceLab.git
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d781af3d1f
removed TrueFace model. added SAEv2 model. Differences from SAE: + default e_ch_dims is now 21 + new encoder produces more stable face and less scale jitter before: https://i.imgur.com/4jUcol8.gifv after: https://i.imgur.com/lyiax49.gifv - scale of the face is less changed within frame size + decoder now has only 1 residual block instead of 2, result is same quality with less decoder size + added mid-full face, which covers 30% more area than half face. + added option " Enable 'true face' training " Enable it only after 50k iters, when the face is sharp enough. the result face will be more like src. The most src-like face with 'true-face-training' you can achieve with DF architecture. |
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.. | ||
__init__.py | ||
2DFAN-4.h5 | ||
DLIBExtractor.py | ||
FaceType.py | ||
FANExtractor.py | ||
FANSeg_256_full_face.h5 | ||
FANSegmentator.py | ||
LandmarksProcessor.py | ||
mmod_human_face_detector.dat | ||
MTCExtractor.py | ||
mtcnn_onet.h5 | ||
mtcnn_pnet.h5 | ||
mtcnn_rnet.h5 | ||
PoseEstimator.py | ||
S3FD.h5 | ||
S3FDExtractor.py | ||
vgg11_enc_weights.npy |