Official repository for the autoPET III challenge.

A curated list of resources for Image and Video Deblurring

Neural Blind Deconvolution Using Deep Priors (CVPR 2020)

Official repository for autoPET I+II machine lerning challenge

SimPET is a framework intended to setup and launch PET imaging Monte Carlo simulations on a simple way. It uses popular tools such as SimSET and STIR

A Matlab-based PET simulation and reconstruction framework with analytical modeling of system matrix, capable of incorporating various degrees of PSF modeling.

Practical Blind Denoising via Swin-Conv-UNet and Data Synthesis (Machine Intelligence Research 2023)

Designing a Practical Degradation Model for Deep Blind Image Super-Resolution (ICCV, 2021) (PyTorch) - We released the training code!

Official code of "Deep Variational Network Toward Blind Image Restoration".

Medical Ultrasound Image Speckle Reduction and Resolution Enhancement Using Texture Compensated Multi-Resolution Convolution Neural Network

AdaIR: Adaptive All-in-One Image Restoration via Frequency Mining and Modulation

Code for coupled TGV regularization of multi-spectral/multi-modal inverse problems

The Official Implementation for "HAIR: Hypernetworks-based All-in-One Image Restoration".

This is a summary of research on All-In-One Image/Video Restoration. There may be omissions. If anything is missing please get in touch with us. Our emails: [email protected]; gouyuanbiao@gmail.…

(ICCV 2019 Oral) Many Task Learning With Task Routing http://openaccess.thecvf.com/content_ICCV_2019/html/Strezoski_Many_Task_Learning_With_Task_Routing_ICCV_2019_paper.html

[ECCV 2024] InstructIR: High-Quality Image Restoration Following Human Instructions https://huggingface.co/spaces/marcosv/InstructIR

PyTorch implementation for All-In-One Image Restoration for Unknown Corruption (AirNet) (CVPR 2022)

🆙 Upscayl - #1 Free and Open Source AI Image Upscaler for Linux, MacOS and Windows.

PyTorch implementation of the R2Plus1D convolution based ResNet architecture described in the paper "A Closer Look at Spatiotemporal Convolutions for Action Recognition"

A PyTorch implementation of R2Plus1D and C3D based on CVPR 2017 paper "A Closer Look at Spatiotemporal Convolutions for Action Recognition" and CVPR 2014 paper "Learning Spatiotemporal Features wit…

Best Practices, code samples, and documentation for Computer Vision.

DU-GAN: Generative Adversarial Networks with Dual-Domain U-Net Based Discriminators for Low-Dose CT Denoising

Noise2Sim is a general unsupervised deep denoising method.

CVPR2024: Transfer CLIP for Generalizable Image Denoising

Implementation code for "Iterative PET Image Reconstruction Using Convolutional Neural Network Representation"

Penalized PET reconstruction using deep learning prior and local linear fitting

Image restoration with neural networks but without learning.