Alternatives and similar repositories for universal_inverse_problem:

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

• dgilton / deep_equilibrium_inverse
  Code related to the paper "Deep Equilibrium Architectures for Inverse Problems in Imaging"
  ☆37Updated 3 years ago
• LabForComputationalVision / bias_free_denoising
  Robust and Interpretable Blind Image Denoising via Bias-Free Convolutional Neural Networks
  ☆55Updated 3 years ago
• samuro95 / GSPnP
  Source code for the paper "Gradient Step Denoiser for convergent Plug-and-Play"
  ☆32Updated last year
• bahjat-kawar / snips_torch
  [NeurIPS 2021] SNIPS: Solving Noisy Inverse Problems Stochastically
  ☆49Updated 2 years ago
• PangTongyao / Self-supervised-BNN-for-image-recovery
  ☆20Updated 3 years ago
• VLOGroup / tdv
  Total Deep Variation Regularizer
  ☆50Updated 3 years ago
• matthieutrs / EquivariantPnP
  Equivariant plug-and-play algorithms
  ☆17Updated 11 months ago
• utcsilab / csgm-mri-langevin
  ☆88Updated 3 years ago
• reinhardh / supplement_deep_decoder
  ☆97Updated 5 years ago
• CACTuS-AI / GlowIP
  Code to reproduce results from "Invertible generative models for inverse problems: mitigating representation error and dataset bias"
  ☆21Updated 4 years ago
• MLI-lab / ConvDecoder
  An un-trained neural network with a potential application in accelerated MRI
  ☆42Updated 3 years ago
• jleuschn / cinn_for_imaging
  Conditional Invertible Neural Networks for Medical Imaging
  ☆19Updated 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
• berthyf96 / score_prior
  Score-Based Priors for Bayesian Inverse Imaging (ICCV 2023, TMLR 2024)
  ☆34Updated 2 months ago
• sun-umn / Early_Stopping_for_DIP
  Official Implementation of Early Stopping for Deep Image Prior (TMLR)
  ☆26Updated 9 months ago
• claroche-r / FastDiffusionEM
  ☆19Updated 9 months ago
• axgoujon / convex_ridge_regularizers
  ☆18Updated last year
• kanglin755 / plug_and_play_admm
  A simple Pytorch implementation of plug and play ADMM with examples
  ☆35Updated 2 years ago
• edongdongchen / DDN
  Deep Decomposition Network (DDN) for Inverse Imaging Problems, ECCV'2020
  ☆30Updated 3 years ago
• sherbret / normalization_equivariant_nn
  Official implementation of the paper "Normalization-Equivariant Neural Networks with Application to Image Denoising"
  ☆10Updated 2 months ago
• NVlabs / RED-diff
  ☆80Updated last year
• edongdongchen / EI
  Equivariant Imaging (EI), ICCV'2021 Oral
  ☆66Updated 2 years ago
• IamHuijben / Deep-Probabilistic-Subsampling
  ☆24Updated 3 years ago
• Vandermode / TFPnP
  Tuning-free Plug-and-Play Proximal Algorithm for Inverse Imaging Problems (ICML 2020 Award Paper & JMLR 2022)
  ☆89Updated 2 months ago
• wustl-cig / PnP-MSSN
  A Multiple Self-Similarity Network Based Plug-and-Play Prior for MRI Reconstruction
  ☆14Updated 4 years ago
• HJ-harry / DDS
  Official PyTorch implementation for Decomposed Diffusion Sampling (DDS), presented in the paper "Decomposed Diffusion Sampler for Acceler…
  ☆55Updated 4 months ago
• zhaodongsun / pnp_dip
  [ICASSP 2021] code for Plug-and-play Deep Image Prior
  ☆16Updated 4 years ago
• edongdongchen / REI
  Robust Equivariant Imaging (REI), CVPR'2022 Oral
  ☆93Updated 2 years ago
• cabouman / mbirjax
  MBIRJAX is a Python package for Model Based Iterative Reconstruction (MBIR) of images from tomographic data.
  ☆12Updated this week