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README.md
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README.md
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@ -36,33 +36,33 @@ MTCNN produces less jitter.
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- **H64 (2GB+)** - half face with 64 resolution. It is as original FakeApp or FaceSwap, but with new TensorFlow 1.8 DSSIM Loss func and separated mask decoder + better ConverterMasked. for 2GB and 3GB VRAM model works in reduced mode.
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* H64 Robert Downey Jr.:
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- **H128 (3GB+)** - as H64, but in 128 resolution. Better face details. for 3GB and 4GB VRAM model works in reduced mode.
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* H128 Cage:
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* H128 asian face on blurry target:
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- **DF (5GB+)** - @dfaker model. As H128, but fullface model.
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* DF example - later
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- **LIAEF128 (5GB+)** - new model. Result of combining DF, IAE, + experiments. Model tries to morph src face to dst, while keeping facial features of src face, but less agressive morphing. Model has problems with closed eyes recognizing.
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* LIAEF128 Cage:
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* LIAEF128 Cage video:
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* [](https://www.youtube.com/watch?v=mRsexePEVco)
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- **LIAEF128YAW (5GB+)** - currently testing. Useful when your src faceset has too many side faces vs dst faceset. It feeds NN by sorted samples by yaw.
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- **MIAEF128 (5GB+)** - as LIAEF128, but also it tries to match brightness/color features.
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* MIAEF128 model diagramm:
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* MIAEF128 Ford success case:
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* MIAEF128 Cage fail case:
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- **AVATAR (4GB+)** - face controlling model. Usage:
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* src - controllable face (Cage)
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* dst - controller face (your face)
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