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4 search results found

Reproducible Image Denoising State Of The Art ⭐ 1,759

Collection of popular and reproducible image denoising works.

FFDNet: Toward a Fast and Flexible Solution for CNN based Image Denoising (TIP, 2018)

Trainner ⭐ 198

traiNNer: Deep learning framework for image and video super-resolution, restoration and image-to-image translation, for training and testing.

Image denoising using deep CNN with batch renormalization(Neural Networks,2020)

Revisiting Image Deblurring with an Efficient ConvNet - An efficient CNN performs better than Transformer

Open source image super-resolution toolbox containing various functionality for training a diverse number of state-of-the-art deep learning models. Also acts as the companion code for the MDPI Sensors journal paper titled 'The Best of Both Worlds: A Framework for Combining Degradation Prediction with High Performance Super-Resolution Networks'

Super Resolution Meta Attention Networks ⭐ 17

Open source single image super-resolution toolbox containing various functionality for training a diverse number of state-of-the-art super-resolution models. Also acts as the companion code for the IEEE signal processing letters paper titled 'Improving Super-Resolution Performance using Meta-Attention Layers’.

[IEEE JSTARS] Official PyTorch Implementation of "SAR Image Despeckling Using Continuous Attention Module"

TensorFlow code for ECCV 2018 paper "Image Super-Resolution Using Very Deep Residual Channel Attention Networks"

ERNet: Segmentation of Endoplasmic Reticulum microscopy images using modified CNN-based image restoration models.

Derain_oucd_net ⭐ 5

Official Pytorch Code for "Exploring Overcomplete Representations for Single Image Deraining using CNNs" - IEEE Journal of STSP

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