U-Net
U-Net is a type of convolutional neural network (CNN) architecture designed primarily for image segmentation tasks.
I’ve heard about this architecture before, but I think I was reintroduced after reading on Diffusion Policy
https://en.wikipedia.org/wiki/U-Net
Is U-Net an autoencoder?
Unlike a basic autoencoder, U-Net includes skip connections between corresponding layers in the encoder and decoder. These allow the network to retain spatial information that would otherwise be lost during downsampling