This repo offers sample implementation of a Fully connected and convolutional auto ... encoder and decoder, with 2 fully connected layers each with latent vector of size 128, whereas the Convoltuional ...

The constructor defines the layers for both the encoder (downsampling) and decoder (upsampling) parts of the autoencoder, which are organized in a symmetric manner similar to a U-Net architecture.

To bridge these gaps, we introduce Layout-Preserving Rebuilder-Encoder-Decoder Architecture Predictor (LaRED ... layout characteristics through deformable convolution, hybrid downsampling, cascaded ...

Abstract: Convolutional neural networks lack shift equivariance due to the presence of downsampling ... polyphase upsampling (APS-U), a non-linear extension of conventional upsampling, which allows ...