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Implementation of VAE and Style-GAN Architecture Achieving State of the Art Reconstruction

License: MIT License

Python 100.00%
celeba gan generative-model perceptual-losses style-gan tensorflow vae

style-vae's Introduction

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style-vae's Issues

Disentanglement in styles

I'm looking into implementing this architecture. Did you try to interpolate through specific style inputs instead of the entire latent space? If so, did you observe style inputs at different layers affecting higher or lower level features of the generated image? If so, how strong was this observation compared to what the StyleGAN paper showed?

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