liuyu98tju

CSBDeep

Image restoration for fluorescence microscopy

GFPGAN

GFPGAN aims at developing Practical Algorithms for Real-world Face Restoration.

IKM

codes for IKM (arXiv2021, Submitted to IEEE Trans)

2020NTIRE-Guided-Frequency-Separation-Network-for-RWSR

CVPR2021-Paper-Code-Interpretation

cvpr2021/cvpr2020/cvpr2019/cvpr2018/cvpr2017 论文/代码/解读/直播合集，极市团队整理

DAOSLIMIT

DCCN

Dense Connected Cascade Network (DCCN) for MRI Reconstruction

DL-SR

Tensorflow/keras implementation for image transformation from low-resolution (LR) image to super-resolved one, including single wide-field (WF) image super-resolution prediction and SIM reconstruction.

DuDoRNet

DuDoRNet: Learning a Dual-Domain Recurrent Network for Fast MRI Reconstruction with Deep T1 Prior (CVPR 2020)

EPSCN

EPSCN1

ESPCN

https://github.com/leftthomas/ESPCN.git

FcaNet

FcaNet: Frequency Channel Attention Networks

graf

Official code release for "GRAF: Generative Radiance Fields for 3D-Aware Image Synthesis"

ismrmrd-python

Python API for the ISMRMRD file format

LF-DFnet

[TIP 2021] Light Field Image Super-Resolution Using Deformable Convolution

liif

Learning Continuous Image Representation with Local Implicit Image Function, in CVPR 2021 (Oral)

PyTorch-Networks

Pytorch implementation of cnn network

RCAN

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

real-world-sr

[ICCVW 2019] PyTorch implementation of DSGAN and ESRGAN-FS from the paper "Frequency Separation for Real-World Super-Resolution". This code was the winning solution of the AIM challenge on Real-World Super-Resolution at ICCV 2019

robosumo

Code for the paper "Continuous Adaptation via Meta-Learning in Nonstationary and Competitive Environments"

T2Net

【MICCAI 2021】Task Transformer Network for Joint MRI Reconstruction and Super-Resolution