Alternatives and similar repositories for cosense

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

• kellman / physics_based_learning
  Learning for computational imaging system made simple.
  ☆65Updated 4 years ago
• reinhardh / supplement_deep_decoder
  ☆98Updated 6 years ago
• tum-vision / learn_prox_ops
  Implementation of "Learning Proximal Operators: Using Denoising Networks for Regularizing Inverse Imaging Problems"
  ☆47Updated 5 years ago
• Vandermode / TFPnP
  Tuning-free Plug-and-Play Proximal Algorithm for Inverse Imaging Problems (ICML 2020 Award Paper & JMLR 2022)
  ☆90Updated 10 months ago
• HeSunPU / DPI
  Deep Probabilistic Imaging (DPI): Uncertainty Quantification and Multi-modal Solution Characterization for Computational Imaging
  ☆37Updated 3 years ago
• MLI-lab / overparameterized_convolutional_generators
  ☆16Updated 5 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
• ayanc / learncfa
  Learning Sensor Multiplexing Design through Back-propagation
  ☆15Updated 9 years ago
• vpronina / DeepWienerRestoration
  ☆15Updated 4 years ago
• davevanveen / compsensing_dip
  Compressed sensing with deep image prior algorithm
  ☆63Updated last year
• wustl-cig / bcred
  The implementation of the Block Coordinate Regularization by Denoising (BC-RED) algorithm (NeurIPS 2019)
  ☆11Updated 5 years ago
• image-science-lab / OneNet
  ☆33Updated 6 years ago
• VLOGroup / denoising-variationalnetwork
  Implementation of the variational network for denoising.
  ☆17Updated 2 years ago
• juglab / FourierImageTransformer
  Fourier Image Transformer (FIT) can solve relevant image analysis tasks in Fourier space.
  ☆100Updated 3 years ago
• ZezhouCheng / GP-DIP
  Code for A Bayesian Perspective on the Deep Image Prior (CVPR 2019)
  ☆62Updated 6 years ago
• VLOGroup / tdv
  Total Deep Variation Regularizer
  ☆51Updated 4 years ago
• LabForComputationalVision / bias_free_denoising
  Robust and Interpretable Blind Image Denoising via Bias-Free Convolutional Neural Networks
  ☆55Updated 3 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
• dgilton / deep_equilibrium_inverse
  Code related to the paper "Deep Equilibrium Architectures for Inverse Problems in Imaging"
  ☆37Updated 4 years ago
• uclaopt / Provable_Plug_and_Play
  [ICML 2019] Plug-and-Play Methods Provably Converge with Properly Trained Denoisers
  ☆67Updated 6 years ago
• cmu-ci-lab / nlos_fermat_path
  non-line-of-sight shape reconstruction using Fermat paths
  ☆36Updated 6 years ago
• vsitzmann / deepoptics
  ☆146Updated 4 years ago
• princeton-computational-imaging / Neural_Nano-Optics
  Repository for "Neural Nano-Optics for High-quality Thin Lens Imaging"
  ☆35Updated 3 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
• bahjat-kawar / snips_torch
  [NeurIPS 2021] SNIPS: Solving Noisy Inverse Problems Stochastically
  ☆52Updated 3 years ago
• nathanaelbosch / generative-latent-optimization
  PyTorch Implementation: "Optimizing the Latent Space of Generative Networks"
  ☆23Updated 6 years ago
• utsav-akhaury / PnP-ADMM
  Image Deconvolution with Plug-and-Play ADMM using an X-Dense-U-Net denoiser
  ☆11Updated 2 months ago
• Waller-Lab / LenslessLearning
  Code for Lensless Learning Paper
  ☆69Updated 4 years ago
• yzhouas / reproducible-image-restoration-state-of-the-art
  Image Restoration Paper and Code, including Image Denoising, Image Supre-resolution, Image Inpainting etc.
  ☆41Updated 6 years ago
• mccorbineau / iRestNet
  Deep unfolded proximal interior point algorithm
  ☆12Updated 5 years ago