Making fake faces with a Convolutional Variational Autoencoder in PyTorch with celebA dataset
Implementation from paper: https://arxiv.org/pdf/1610.00291v1.pdf
![[Sample Output]](https://github.com/UdbhavPrasad072300/Generate-Fake-Faces-with-CVAE-in-PyTorch/blob/master/samplesFACES/sample1.png)
![[Sample Output]](https://github.com/UdbhavPrasad072300/Generate-Fake-Faces-with-CVAE-in-PyTorch/blob/master/samplesFACES/sample2.png)
![[Sample Output]](https://github.com/UdbhavPrasad072300/Generate-Fake-Faces-with-CVAE-in-PyTorch/blob/master/samplesFACES/sample3.png)
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Making fake faces with a Convolutional Variational Autoencoder in PyTorch with celebA dataset
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