A Res-Net Style VAE with an adjustable perception loss using a pre-trained vgg19

Results on validation images of the STL10 dataset at 64x64 with a latent vector size of 512 (images on top are the reconstruction)

With Perception loss

Without Perception loss

The images in the STL10 have a lot of variation meaning more "features" need to be encoded in the latent space to achieve a good reconstruction. Using a data-set with less variation (and the same latent vector size) should results in a higher quality reconstructed image.