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README.md
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The model is a VAE trained for encoding classical portraits in 128*128 resolution into a d=256 latent vector and decoding into original images.
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## Model Sources [optional]
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<!-- Provide the basic links for the model. -->
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- **Demo [optional]:** [https://huggingface.co/spaces/BioMike/ClassicalPortraitsVAE]
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## How to Get Started with the Model
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The model was trained into two steps, in the first the model vgg16 was employed in the perceptual loss, to train our model to extract general features, and the model vggface2 was used to train VAE to decode faces accurately.
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## Model Card Authors
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## Model Card Contact
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[More Information Needed]
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The model is a VAE trained for encoding classical portraits in 128*128 resolution into a d=256 latent vector and decoding into original images.
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Demo: https://huggingface.co/spaces/BioMike/ClassicalPortraitsVAE
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## How to Get Started with the Model
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The model was trained into two steps, in the first the model vgg16 was employed in the perceptual loss, to train our model to extract general features, and the model vggface2 was used to train VAE to decode faces accurately.
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## Model Card Authors
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[Mykhailo Shtopko](https://huggingface.co/BioMike)
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[werent4](https://huggingface.co/werent4)
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