There are 3 repositories under dncnn topic.
A collection of state-of-the-art video or single-image super-resolution architectures, reimplemented in tensorflow.
:octocat::octocat:A tensorflow implement of the paper "Beyond a Gaussian Denoiser: Residual Learning of Deep CNN for Image Denoising"
Use deep Convolutional Neural Networks (CNNs) with PyTorch, including investigating DnCNN and U-net architectures
Simple implementation of the paper (DnCNN)'Beyond a Gaussian Denoiser: Residual Learning of Deep CNN for Image Denoising'
A tensorflow implementation of 'Beyond a Gaussian Denoiser: Residual Learning of Deep CNN for Image Denoising' only for JPEG deblokcing
Contains implementation of denoising algorithms.
Imperial College London Deep Learning EE3-25 codes submission repository: descriptor learning on the noisy HPatches dataset.
Using CNN to de noise images.
this project is created based on state of the art model Dncnn . This is a simple implementation of image denoising
implementing dncnn image denoising using tensorflow