For example, a denoising convolutional autoencoder has been successfully deployed to reconstruct high-resolution ECG signals from low-resolution inputs, thereby addressing limitations in sampling ...

This is the first work that uses recurrent denoising autoencoders to perform light transport reconstruction and produces “noise-free and temporally coherent animation sequences with global ...

The residual block, in turn, contains two 3 × 3 convolutional layers with eight filters each. The model was trained, validated, and tested on 627 images, with a 7:2:1 ratio.