Alternatives and similar repositories for Deep-Learning-for-Inverse-Problems

Users that are interested in Deep-Learning-for-Inverse-Problems are comparing it to the libraries listed below

• adler-j / learned_gradient_tomography
  Solving ill-posed inverse problems using iterative deep neural networks
  ☆97Updated 3 years ago
• kellman / physics_based_learning
  Learning for computational imaging system made simple.
  ☆65Updated 4 years ago
• pputzky / invertible_rim
  Official Code for "Invert to Learn to Invert" that allows training of invertible networks without storing activations
  ☆37Updated 5 years ago
• davevanveen / compsensing_dip
  Compressed sensing with deep image prior algorithm
  ☆63Updated last year
• MLI-lab / overparameterized_convolutional_generators
  ☆16Updated 5 years ago
• reinhardh / supplement_deep_decoder
  ☆98Updated 6 years ago
• vegarant / Invfool
  Code related to the paper "On instabilities of deep learning in image reconstruction - Does AI come at a cost?"
  ☆35Updated 5 months ago
• MLI-lab / cs_deep_decoder
  ☆17Updated 5 years ago
• jakobsj / TVReg
  TVReg, Version 1.1: Software for 3D Total Variation Regularization
  ☆35Updated 4 years ago
• utcsilab / deepinpy
  Deep inverse problems in Python
  ☆60Updated 2 months ago
• MLI-lab / Robustness-CS
  Measuring the robustness of compressive sensing methods (including deep-learning-based ones) for image reconstruction.
  ☆32Updated 4 years ago
• tum-vision / learn_prox_ops
  Implementation of "Learning Proximal Operators: Using Denoising Networks for Regularizing Inverse Imaging Problems"
  ☆47Updated 5 years ago
• hanyoseob / framing-u-net
  Deep Convolutional Framelets: A General Deep Learning Framework for Inverse Problems
  ☆29Updated 7 years ago
• VLOGroup / tdv
  Total Deep Variation Regularizer
  ☆51Updated 4 years ago
• swing-research / deepmesh
  Random Mesh Projectors for Inverse Problems
  ☆24Updated 4 years ago
• dgilton / neumann_networks_code
  Neumann Networks for Inverse Problems in Imaging
  ☆14Updated 4 years ago
• wustl-cig / PnP-MSSN
  A Multiple Self-Similarity Network Based Plug-and-Play Prior for MRI Reconstruction
  ☆14Updated 5 years ago
• adler-j / learned_primal_dual
  Learned Primal-Dual Reconstruction
  ☆104Updated 6 years ago
• juglab / FourierImageTransformer
  Fourier Image Transformer (FIT) can solve relevant image analysis tasks in Fourier space.
  ☆100Updated 3 years ago
• liutianlin0121 / musc
  Implementation of "Learning Multiscale Convolutional Dictionaries for Image Reconstruction", IEEE Transaction On Computational Imaging, 2…
  ☆32Updated 2 years ago
• edward-reehorst / On_RED
  This repository is made to publish code used in "Regularization by Denoising: Clarifications and New Interpretations" by Reehorst, Schnit…
  ☆19Updated 7 years ago
• JeanKossaifi / FISTA
  Python implementation of the Fast Iterative Shrinkage/Thresholding Algorithm.
  ☆94Updated 6 years ago
• Jeffrey-Ede / Electron-Micrograph-Denoiser
  Deep neural network for low-dose electron micrograph denoising
  ☆15Updated 5 years ago
• ndavoudi / sparse_artefact_unet
  ☆36Updated last year
• vpronina / DeepWienerRestoration
  ☆15Updated 4 years ago
• idiap / semiblindpsfdeconv
  Code for "Semi-Blind Spatially-Variant Deconvolution in Optical Microscopy with Local Point Spread Function Estimation By Use Of Convolut…
  ☆31Updated 5 years ago
• svvenkatakrishnan / plug-and-play-priors
  An algorithmic framework to experiment with different image priors via denoising algorithms for inverse problems.
  ☆28Updated 8 years ago
• lucasplagwitz / recon
  Primal-Dual Solver for Inverse Problems
  ☆13Updated 4 years ago
• uclaopt / Provable_Plug_and_Play
  [ICML 2019] Plug-and-Play Methods Provably Converge with Properly Trained Denoisers
  ☆68Updated 6 years ago
• PangTongyao / Self-supervised-BNN-for-image-recovery
  ☆22Updated 4 years ago