They consist of two main components: an encoder and a decoder. The encoder takes in the input sequence and encodes it into a fixed-length representation, often referred to as the context vector.

Inspired by the progress in single image restoration (denoising) using deep learning, the authors propose a deep learning based approach which leverages an encoder-decoder architecture and recurrent ...