wustl-cig

C++

DOLCE

 25  4
DOLCE, ICCV2023. Pytorch Implementation.
JavaScript

bcpnpwww

 1  1
Project page for block coordinate plug-and-play method for blind inverse problems

spicewww

 1  0
The project page for Self-Supervised Learning for MRI with Automatic Coil Sensitivity Estimation (SPICE)

curewww

 0  1
Project page for CURE

decafwww

 0  1
Project page for "Recovery of Continuous 3D Refractive Index Maps from Discrete Intensity-Only Measurements using Neural Fields"

decolearnwww

 0  1
Project page for "Deformation-Compensated Learning for Image Reconstruction without Ground Truth"

drpwww

 0  1
Project page for Deep Restoration Priors (DRP)
Matlab

Dictionary-Learnning-for-image-denoise-Fa

 3  0
Python

DeCAF

 38  5

Cooridnate-based-Internal-Learning

 20  6
The codebase for 'CoIL: Coordinate-based Internal Learning for Tomographic Imaging'

RARE

 19  4
Demo code for RARE

CURE

 12  2
Official Implementation of CURE, ECCV 2022

PnP-MSSN

 12  2
A Multiple Self-Similarity Network Based Plug-and-Play Prior for MRI Reconstruction

bcred

 11  7
The implementation of the Block Coordinate Regularization by Denoising (BC-RED) algorithm (NeurIPS 2019)

DeCoLearn

 11  3

DRP

 8  1

pnp-recovery

 8  4
Pytorch code for the NeurIPS 2021 paper "Recovery Analysis for Plug-and-Play Priors using the Restricted Eigenvalue Condition"

ELDER

 7  1

PIRATE-code

 5  0
Official code for the paper "A Plug-and-Play Image Registration Network"

RoAR

 4  3

ScatteringDecoder

 4  1
Efficient and accurate inversion of multiple scattering with deep learning

2019-ICCVW-OnlineRED

 3  1

2021-ICLR-Async-RED

 3  0

2022-MRM-LEARN

 3  1

ODER

 3  0
Pytorch code for the NeurIPS 2022 paper "Online Deep Equilibrium Learning for Regularization by Denoising"

SPICER

 1  1