Alternatives and similar repositories for overparameterized_convolutional_generators

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

• VLOGroup / denoising-variationalnetwork
  Implementation of the variational network for denoising.
  ☆17Updated 2 years ago
• benMen87 / ApproximateConvolutionalSparseCoding
  An implementation of approximate convolutional sparse coding (CSC) based on paper: https://arxiv.org/abs/1711.00328
  ☆43Updated 2 years ago
• dgilton / deep_equilibrium_inverse
  Code related to the paper "Deep Equilibrium Architectures for Inverse Problems in Imaging"
  ☆37Updated 4 years ago
• kellman / physics_based_learning
  Learning for computational imaging system made simple.
  ☆62Updated 4 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 6 years ago
• tomMoral / adopty
  ☆19Updated 5 years ago
• reinhardh / supplement_deep_decoder
  ☆97Updated 6 years ago
• ZezhouCheng / GP-DIP
  Code for A Bayesian Perspective on the Deep Image Prior (CVPR 2019)
  ☆60Updated 5 years ago
• svvenkatakrishnan / plug-and-play-priors
  An algorithmic framework to experiment with different image priors via denoising algorithms for inverse problems.
  ☆27Updated 8 years ago
• uclaopt / Provable_Plug_and_Play
  [ICML 2019] Plug-and-Play Methods Provably Converge with Properly Trained Denoisers
  ☆67Updated 5 years ago
• wustl-cig / PnP-MSSN
  A Multiple Self-Similarity Network Based Plug-and-Play Prior for MRI Reconstruction
  ☆14Updated 5 years ago
• XiaoxiaSun / supervised-deep-sparse-coding-networks
  supervised deep sparse coding networks
  ☆31Updated 8 years ago
• meyerscetbon / Deep-K-SVD
  ☆73Updated last year
• GaryMataev / DeepRED
  DeepRED: Deep Image Prior Powered by RED
  ☆67Updated 5 years ago
• MortezaMardani / Neural-PGD
  This code implements the neural proximal gradient descent (PGD) algorithm proposed in https://arxiv.org/abs/1806.03963. The idea is to un…
  ☆24Updated 6 years ago
• wustl-cig / bcred
  The implementation of the Block Coordinate Regularization by Denoising (BC-RED) algorithm (NeurIPS 2019)
  ☆11Updated 5 years ago
• ngcthuong / DoC-DCS
  Difference of Convolution for Deep Compressive Sensing, IEEE International Conference on Image Processing (ICIP), 2019 - Training code in…
  ☆10Updated 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
• utcsilab / deepinpy
  Deep inverse problems in Python
  ☆59Updated 2 years ago
• VLOGroup / tdv
  Total Deep Variation Regularizer
  ☆51Updated 4 years ago
• aaberdam / Holistic_Pursuit
  An implementation of the Holistic Pursuit for the Multi-Layer Sparse Coding model. Contains a comparison to the projection pursuit algori…
  ☆19Updated 6 years ago
• vpronina / DeepWienerRestoration
  ☆15Updated 4 years ago
• image-science-lab / OneNet
  ☆33Updated 6 years ago
• davevanveen / compsensing_dip
  Compressed sensing with deep image prior algorithm
  ☆63Updated 11 months ago
• MLI-lab / Robustness-CS
  Measuring the robustness of compressive sensing methods (including deep-learning-based ones) for image reconstruction.
  ☆31Updated 3 years ago
• bwohlberg / sporco-notebooks
  Jupyter notebook usage examples for the SPORCO project
  ☆19Updated 3 years ago
• bwohlberg / sporco-cuda
  CUDA extension for the SPORCO project
  ☆18Updated 3 years ago
• vegarant / Invfool
  Code related to the paper "On instabilities of deep learning in image reconstruction - Does AI come at a cost?"
  ☆35Updated last month
• drorsimon / CSCNet
  Code for the paper "Rethinking the CSC Model for Natural Images"
  ☆31Updated last year
• qingqu06 / MCS-BD
  Code for multichannel sparse blind deconvolution problem.
  ☆12Updated 5 years ago