Alternatives and similar repositories for PnP-MACE:

Users that are interested in PnP-MACE are comparing it to the libraries listed below

• lanl / scico
  Scientific Computational Imaging COde
  ☆111Updated this week
• claroche-r / FastDiffusionEM
  ☆18Updated 8 months ago
• albangossard / Bindings-NUFFT-pytorch
  Bindings to use a NUFFT in pytorch with differentiation with respect to the input and to the positions.
  ☆20Updated last month
• sedaboni / ADMM-DIPTV
  Combining Weighted Total Variation and Deep Image Prior for natural and medical image restoration via ADMM (2021)
  ☆35Updated 2 years ago
• MLI-lab / ConvDecoder
  An un-trained neural network with a potential application in accelerated MRI
  ☆42Updated 3 years ago
• dgilton / deep_equilibrium_inverse
  Code related to the paper "Deep Equilibrium Architectures for Inverse Problems in Imaging"
  ☆37Updated 3 years ago
• kanglin755 / plug_and_play_admm
  A simple Pytorch implementation of plug and play ADMM with examples
  ☆34Updated 2 years ago
• axgoujon / convex_ridge_regularizers
  ☆16Updated last year
• samuro95 / Prox-PnP
  ☆14Updated last year
• adler-j / learned_primal_dual
  Learned Primal-Dual Reconstruction
  ☆99Updated 5 years ago
• VLOGroup / tdv
  Total Deep Variation Regularizer
  ☆50Updated 3 years ago
• hongtao-argmin / CQNPCS_MRIReco
  Python implementation of A Complex Quasi-Newton Proximal Method for Image Reconstruction in Compressed Sensing MRI paper
  ☆11Updated 11 months ago
• wustl-cig / PnP-MSSN
  A Multiple Self-Similarity Network Based Plug-and-Play Prior for MRI Reconstruction
  ☆14Updated 4 years ago
• jakobsj / TVReg
  TVReg, Version 1.1: Software for 3D Total Variation Regularization
  ☆31Updated 3 years ago
• oterobaguer / dip-ct-benchmark
  Computed Tomography Reconstruction Using DeepImage Prior and Learned Reconstruction Methods
  ☆34Updated 4 years ago
• eboigne / PyTV-4D
  Python routines to compute the Total Variation (TV) of 2D, 3D and 4D images on CPU & GPU. Compatible with proximal algorithms (ADMM, Cham…
  ☆37Updated last year
• yqx7150 / REDAEP
  REDAEP: Robust and Enhanced Denoising Autoencoding Prior for Sparse-View CT Reconstruction
  ☆13Updated last month
• edongdongchen / EI
  Equivariant Imaging (EI), ICCV'2021 Oral
  ☆66Updated 2 years ago
• CSET-Toolbox / CSET
  CSET (Compressed Sensing Electron Tomography)-toolbox is a three-dimensional TV-based compressed sensing reconstruction toolbox that con…
  ☆32Updated 5 years ago
• jmaces / robust-nets
  Official implementation of the paper "Solving Inverse Problems With Deep Neural Networks - Robustness Included?" by M. Genzel, J. Macdona…
  ☆28Updated 2 years ago
• jleuschn / cinn_for_imaging
  Conditional Invertible Neural Networks for Medical Imaging
  ☆19Updated 2 years ago
• jleuschn / dival
  Deep Inversion Validation Library
  ☆75Updated last year
• uclaopt / Provable_Plug_and_Play
  [ICML 2019] Plug-and-Play Methods Provably Converge with Properly Trained Denoisers
  ☆67Updated 5 years ago
• ahendriksen / noise2inverse
  Code accompanying "Noise2Inverse: Self-supervised deep convolutional denoising for linear image reconstruction"
  ☆35Updated 3 years ago
• scuchenxiang / SOUL-Net
  The codes for paper "SOUL-Net: A Sparse and Low-Rank Unrolling Network for Spectral CT Image Reconstruction".
  ☆14Updated 2 years ago
• cetmann / pytorch-primaldual
  A Pytorch implementation of Learned Primal-Dual Reconstruction (Adler & Öktem, 2017)
  ☆12Updated 4 years ago
• Zach-T-Burns / Untrained-PINN-for-SIM
  Untrained, physics-informed neural network for SIM image reconstruction
  ☆30Updated last year
• maybe198376 / LEARN
  ☆24Updated 6 years ago
• weiwenwu12 / DRONE
  DRONE focus on reconstructing good images from CT scanner with 60 views of fan-beam geometry.
  ☆10Updated 3 years ago
• AlbertZhangHIT / torch-radon
  Implementation of radon transform for pytorch
  ☆10Updated 4 years ago