Alternatives and similar repositories for torch-radon

Users that are interested in torch-radon are comparing it to the libraries listed below

• jmaces / robust-nets
  Official implementation of the paper "Solving Inverse Problems With Deep Neural Networks - Robustness Included?" by M. Genzel, J. Macdona…
  ☆30Updated 3 years ago
• PhanHuyThong / Image-Reconstruction-by-CNN-based-PGD
  Framework to train CNN and use it in Relaxed Projected Gradient Descent (RPGD) to reconstruct images
  ☆12Updated 5 years ago
• adler-j / learned_gradient_tomography
  Solving ill-posed inverse problems using iterative deep neural networks
  ☆97Updated 4 years ago
• harshit-gupta-cor / CNN-RPGD
  Code for 'CNN-Based Projected Gradient Descent for Consistent Image'.
  ☆12Updated 5 years ago
• asHauptmann / PAT_CODES
  ☆12Updated 5 years ago
• FabianAltekrueger / WPPNets
  WPPNets and WPPFlows: The Power of Wasserstein Patch Priors for Superresolution.
  ☆11Updated last month
• jleuschn / cinn_for_imaging
  Conditional Invertible Neural Networks for Medical Imaging
  ☆20Updated 3 years ago
• adler-j / learned_primal_dual
  Learned Primal-Dual Reconstruction
  ☆104Updated 6 years ago
• PangTongyao / Self-supervised-BNN-for-image-recovery
  ☆22Updated 4 years ago
• edongdongchen / EI
  Equivariant Imaging (EI), ICCV'2021 Oral
  ☆74Updated 3 years ago
• liutianlin0121 / diffcurve
  A Python library that integrates the Curvelet transform into differentiable programming pipelines, such as PyTorch and JAX.
  ☆10Updated 2 years ago
• cetmann / pytorch-primaldual
  A Pytorch implementation of Learned Primal-Dual Reconstruction (Adler & Öktem, 2017)
  ☆15Updated 5 years ago
• kkothari93 / fionet
  Official repo for "Learning the geometry of wave-based imaging"
  ☆12Updated 4 years ago
• Sobhan-Goudarzi / Denoising-Based-Ultrasound-Beamforming
  ☆22Updated 3 years ago
• panakino / FBPConvNet
  FBPConvNet for computed tomography
  ☆58Updated 7 years ago
• MLI-lab / ConvDecoder
  An un-trained neural network with a potential application in accelerated MRI
  ☆44Updated 4 years ago
• MLI-lab / cs_deep_decoder
  ☆16Updated 5 years ago
• sedaboni / ADMM-DIPTV
  Combining Weighted Total Variation and Deep Image Prior for natural and medical image restoration via ADMM (2021)
  ☆39Updated 3 years ago
• yqx7150 / HGGDP
  Homotopic Gradients of Generative Density Priors for MR Image Reconstruction
  ☆20Updated 11 months ago
• edongdongchen / REI
  Robust Equivariant Imaging (REI), CVPR'2022 Oral
  ☆96Updated 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 5 months ago
• jakobsj / TVReg
  TVReg, Version 1.1: Software for 3D Total Variation Regularization
  ☆35Updated 4 years ago
• utcsilab / csgm-mri-langevin
  ☆99Updated 3 years ago
• uclaopt / Provable_Plug_and_Play
  [ICML 2019] Plug-and-Play Methods Provably Converge with Properly Trained Denoisers
  ☆68Updated 6 years ago
• JinYize / self2self_pytorch
  ☆35Updated 4 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…
  ☆19Updated last year
• oterobaguer / dip-ct-benchmark
  Computed Tomography Reconstruction Using DeepImage Prior and Learned Reconstruction Methods
  ☆35Updated 5 years ago
• utcsilab / deep-jsense
  Code for Deep J-Sense: Accelerated MRI Reconstruction via Unrolled Alternating Optimization
  ☆31Updated 2 years ago
• PangTongyao / Recorrupted-to-Recorrupted-Unsupervised-Deep-Learning-for-Image-Denoising
  ☆67Updated 2 years ago
• jakobsj / AIRToolsII
  The AIR Tools II toolbox for MATLAB accompanies the publication "AIR Tools II: algebraic iterative reconstruction methods, improved imple…
  ☆84Updated 5 years ago