Fully-Convolutional-Networks-for-Image-Denoising

This project demonstrates the implementation of a fully convolutional network for image denoising using the color version of the LFWcrop dataset. It aims to reconstruct clean images from their noisy counterparts by leveraging a small yet effective autoencoder architecture.