Alternatives and similar repositories for deep_equilibrium_inverse:

Users that are interested in deep_equilibrium_inverse are comparing it to the libraries listed below

• VLOGroup / tdv
  Total Deep Variation Regularizer
  ☆51Updated 4 years ago
• LabForComputationalVision / universal_inverse_problem
  Examples and code for "Solving linear inverse problems using the prior implicit in a denoiser", Z Kadkhodaie and EP Simoncelli
  ☆55Updated 4 years ago
• matthieutrs / EquivariantPnP
  Equivariant plug-and-play algorithms
  ☆17Updated last year
• samuro95 / GSPnP
  Source code for the paper "Gradient Step Denoiser for convergent Plug-and-Play"
  ☆33Updated last year
• kanglin755 / plug_and_play_admm
  A simple Pytorch implementation of plug and play ADMM with examples
  ☆38Updated 2 years ago
• PangTongyao / Self-supervised-BNN-for-image-recovery
  ☆21Updated 4 years ago
• Vandermode / TFPnP
  Tuning-free Plug-and-Play Proximal Algorithm for Inverse Imaging Problems (ICML 2020 Award Paper & JMLR 2022)
  ☆89Updated 4 months ago
• MLI-lab / ConvDecoder
  An un-trained neural network with a potential application in accelerated MRI
  ☆42Updated 3 years ago
• vegarant / cilib
  Code for the book "Compressive imaging: Structure, Sampling, Learning".
  ☆14Updated 3 years ago
• utcsilab / csgm-mri-langevin
  ☆91Updated 3 years ago
• wustl-cig / PnP-MSSN
  A Multiple Self-Similarity Network Based Plug-and-Play Prior for MRI Reconstruction
  ☆14Updated 5 years ago
• utsav-akhaury / PnP-ADMM
  Image Deconvolution with Plug-and-Play ADMM using an X-Dense-U-Net denoiser
  ☆10Updated 2 years ago
• uclaopt / Provable_Plug_and_Play
  [ICML 2019] Plug-and-Play Methods Provably Converge with Properly Trained Denoisers
  ☆67Updated 5 years ago
• MLI-lab / Robustness-CS
  Measuring the robustness of compressive sensing methods (including deep-learning-based ones) for image reconstruction.
  ☆31Updated 3 years ago
• sunyumark / PnP-MonteCarlo
  Published in IEEE Trans. Comput. Imag.
  ☆8Updated 6 months ago
• kellman / physics_based_learning
  Learning for computational imaging system made simple.
  ☆62Updated 4 years ago
• edongdongchen / DDN
  Deep Decomposition Network (DDN) for Inverse Imaging Problems, ECCV'2020
  ☆30Updated 3 years ago
• axgoujon / convex_ridge_regularizers
  ☆19Updated last year
• sedaboni / ADMM-DIPTV
  Combining Weighted Total Variation and Deep Image Prior for natural and medical image restoration via ADMM (2021)
  ☆37Updated 2 years ago
• liuyang12 / PnP-SCI
  Plug-and-play Algorithms for Large-scale Snapshot Compressive Imaging (CVPR 2020, Oral)
  ☆63Updated 5 years ago
• gbuzzard / PnP-MACE
  Utilities and methods to use the PnP algorithm and MACE framework on image reconstruction problems. Includes demos for superresolution a…
  ☆18Updated last year
• bahjat-kawar / snips_torch
  [NeurIPS 2021] SNIPS: Solving Noisy Inverse Problems Stochastically
  ☆51Updated 2 years ago
• sunyumark / 2019-TCI-OnlinePnP
  The code for "An online plug-and-play algorithm for regularized image reconstruction", IEEE TCI, 2019.
  ☆9Updated 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 3 years ago
• edongdongchen / EI
  Equivariant Imaging (EI), ICCV'2021 Oral
  ☆68Updated 2 years ago
• zhaodongsun / pnp_dip
  [ICASSP 2021] code for Plug-and-play Deep Image Prior
  ☆17Updated 4 years ago
• MLI-lab / cs_deep_decoder
  ☆17Updated 4 years ago
• claroche-r / FastDiffusionEM
  ☆22Updated last year
• Wang-weixi / Adaptive_Sampling
  cvpr 2022
  ☆15Updated last year
• NVlabs / SMRD
  SMRD: SURE-based Robust MRI Reconstruction with Diffusion Models
  ☆28Updated last year