154 Open source projects that are alternatives of or similar to Image-Restoration

Open solution to the Airbus Ship Detection Challenge

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

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

Brainy is a virtual MRI analyzer. Just upload the MRI scan file and get 3 different classes of tumors detected and segmented. In Beta.

Enable multiple players to connect to the same enrironment (UNET), fly a drone, and watch others fly their drones

A collection of deep learning models (PyTorch implemtation)

Cell Detection with PyTorch.

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

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

Constrained Large Deformation Diffeomorphic Image Registration (CLAIRE)

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

Decoder architecture based on the UNet++. Combining residual bottlenecks with depthwise convolutions and attention mechanisms, it outperforms the UNet++ in a coronary artery segmentation task, while being significantly more computationally efficient.

NCI-ISBI 2013 Challenge - Automated Segmentation of Prostate Structures

Nightlight: Astronomic Image Processing

Predictive Image Registration

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

[CVPR 2022] Official repository for the paper "Uformer: A General U-Shaped Transformer for Image Restoration".

The code in this repository is from my master thesis. This project aims to automatically segment carotid from 3D MR brain image, and use the segmented carotid to extract Time-Activity-Curve from PET images. It mainly involves 3D image coregistration, vessel segmentation, partial valume correction.

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.

This is a code repository for pytorch c++ (or libtorch) tutorial.

SASHIMI segmentation is a Matlab App for semi-automatic interactive segmentation of multi-slice images.

TubeTK is an open-source toolkit for the segmentation, registration, and analysis of tubes and surfaces in images, developed by Kitware, Inc.

Urban change model designed to identify changes across 2 timestamps

Medical Image Ceil Segment

Image inpainting based on OMP and KSVD algorithm

Vision Transformer for 3D medical image registration (Pytorch).

The implementation of 3D-UNet using PyTorch

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

The U-Net Segmentation server (caffe_unet) for Docker

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

Urban building extraction in Daejeon region using Modified Residual U-Net (Modified ResUnet) and applying post-processing.

[CVPR2020] Unsupervised Multi-Modal Image Registration via Geometry Preserving Image-to-Image Translation

Implemenation of UNets for Lung Segmentation

An unofficial PyTorch implementation of VoxelMorph- An unsupervised 3D deformable image registration method

Video prediction using lstm and unet

Smart India Hackathon 2019 project given by the Department of Atomic Energy

Low Light Image Enhancement

Automatic icon colorization using deep convolutional neural networks. "Towards Icon Design Using Machine Learning." In Stanford CS229, Fall 2017.

This paper is accepted by ICCV 2021.

Redesigning the Pix2Pix model for small datasets with fewer parameters and different PatchGAN architecture

PyTorch-Code for the Paper "SmaAt-UNet: Precipitation Nowcasting using a Small, Attentive UNet-Architecture"

Learning Deformable Registration of Medical Images with Anatomical Constraints

Automatic mapping of center pivot irrigation systems, planted forests and rural infrastructures

A tool for running deep learning algorithms for semantic segmentation with satellite imagery

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

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’.

AI无损放大工具

TransMorph: Transformer for Unsupervised Medical Image Registration (PyTorch)

2D and 3D UNet implementation in PyTorch.

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

A Python implementation of the model described in our publication "A convolutional neural network for common-coordinate registration of high-resolution histology images" developed principally for applications to registration of spatial transcriptomics image data.

Flexible Algorithms for Image Registration

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

Multi-modal Image Registration And Connectivity anaLysis

A PyTorch collection of semantic segmentation tools.

Support Yolov5(4.0)/Yolov5(5.0)/YoloR/YoloX/Yolov4/Yolov3/CenterNet/CenterFace/RetinaFace/Classify/Unet. use darknet/libtorch/pytorch/mxnet to onnx to tensorrt

Pytorch implementation of UNet for converting aerial satellite images into google maps kinda images.

Collection of different Unet Variant suchas VggUnet, ResUnet, DenseUnet, Unet. AttUnet, MobileNetUnet, NestedUNet, R2AttUNet, R2UNet, SEUnet, scSEUnet, Unet_Xception_ResNetBlock

Joint Semi-supervised Learning of Image Registration and Segmentation

An R interface to the NiftyReg medical image registration library