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2020ntire-guided-frequency-separation-network-for-rwsr

csbdeep

Image restoration for fluorescence microscopy

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

gfpgan

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

graf

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

ikm

codes for IKM (arXiv2021, Submitted to IEEE Trans)

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