36 Open source projects that are alternatives of or similar to Uformer

A Collection of Papers and Codes for ICCV2021 Low Level Vision and Image Generation

[CVPR 2022--Oral] Restormer: Efficient Transformer for High-Resolution Image Restoration. SOTA for motion deblurring, image deraining, denoising (Gaussian/real data), and defocus deblurring.

Pytorch code for "Attention Based Real Image Restoration", IEEE Transactions on Neural Networks and Learning Systems, 2021

A curated list of resources for Low-level Vision Tasks

Collection of popular and reproducible image denoising works.

SwinIR: Image Restoration Using Swin Transformer (official repository)

Official repository of the paper "HiFaceGAN: Face Renovation via Collaborative Suppression and Replenishment".

Image inpainting based on OMP and KSVD algorithm

Tensorflow implementation of MemNet(http://cvlab.cse.msu.edu/pdfs/Image_Restoration%20using_Persistent_Memory_Network.pdf).

Code and Datasets for "Underwater Scene Prior Inspired Deep Underwater Image and Video Enhancement", Pattern Recognition, 2019

Image Denoising Codes using STROLLR learning, the Matlab implementation of the paper in ICASSP2017

Official Python implementation of the 'Sparse deconvolution'-v0.3.0

Designing and Training of A Dual CNN for Image Denoising (Knowledge-based Systems, 2021)

This paper is accepted by ICCV 2021.

A Python software library with a variety of functions for (optical) microscopy image restoration, reconstruction and analysis.

(ECCV 2020) Interactive Multi-Dimension Modulation with Dynamic Controllable Residual Learning for Image Restoration

Deep Atrous Guided Filter for Image Restoration in Under Display Cameras (UDC Challenge, ECCV 2020).

AI无损放大工具

Code repo for "Deep Cyclic Generative Adversarial Residual Convolutional Networks for Real Image Super-Resolution" (ECCVW AIM2020).

Code for the paper "Pyramid Real Image Denoising Network"

Use deep Convolutional Neural Networks (CNNs) with PyTorch, including investigating DnCNN and U-net architectures

✨ A Python package for sparse representations and dictionary learning, including matching pursuit, K-SVD and applications.

Code for Non-Local Recurrent Network for Image Restoration (NeurIPS 2018)

Bringing Old Photo Back to Life (CVPR 2020 oral)

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

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

This is the project page of our paper which has been published in ECCV 2020.

Tensorflow implementation of MIRNet for Low-light image enhancement

Image registration using pytorch

This is the source code of PMHLD-Patch-Map-Based-Hybrid-Learning-DehazeNet-for-Single-Image-Haze-Removal which has been accepted by IEEE Transaction on Image Processing 2020.

High-Dimensional Dense Residual Convolutional Neural Network for Light Field Reconstruction

Code and dataset for Single Underwater Image Restoration by Contrastive Learning, IGARSS 2021, oral.

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’.

SiENet: Siamese Expansion Network for Image Extrapolation(IEEE SPL2020)

SimDeblur is a simple framework for image and video deblurring, implemented by PyTorch

Image deblurring with Convolutional Neural Networks. Scripts & Neural network models available here