Alternatives and similar repositories for pytorch-primaldual

Users that are interested in pytorch-primaldual are comparing it to the libraries listed below

• weiwenwu12 / DRONE
  DRONE focus on reconstructing good images from CT scanner with 60 views of fan-beam geometry.
  ☆11Updated 4 years ago
• oterobaguer / dip-ct-benchmark
  Computed Tomography Reconstruction Using DeepImage Prior and Learned Reconstruction Methods
  ☆35Updated 4 years ago
• MLI-lab / ConvDecoder
  An un-trained neural network with a potential application in accelerated MRI
  ☆42Updated 3 years ago
• yqx7150 / EASEL
  Iterative Reconstruction for Low-Dose CT using Deep Gradient Priors of Generative Model
  ☆23Updated 6 months ago
• jmaces / aapm-ct-challenge
  AAPM DL Sparse-View Computed Tomography Image Reconstruction Challenge - Team Robust-And-Stable
  ☆48Updated 3 years ago
• maybe198376 / LEARN
  ☆26Updated 7 years ago
• xiawj-hub / MAGIC
  ☆21Updated 3 years ago
• xiawj-hub / CTLIB
  A lib of CT projector and back-projector based on PyTorch
  ☆52Updated last year
• Deep-Imaging-Group / Physics-Model-Data-Driven-Review
  Coming soon
  ☆23Updated 2 years ago
• scuchenxiang / SOUL-Net
  The codes for paper "SOUL-Net: A Sparse and Low-Rank Unrolling Network for Spectral CT Image Reconstruction".
  ☆20Updated 2 years ago
• jonzhaocn / fbpconvnet_pytorch
  ☆34Updated 4 years ago
• haimiaozh / MetaInv-Net
  MetaInv-Net: Meta Inversion Network for Sparse View CT Image Reconstruction
  ☆23Updated 3 years ago
• YC-Markus / code-for-DDDM
  code for DMDD: Diffusion Models on Dual Domains for Sparse-view CT Reconstruction
  ☆16Updated last year
• pengbao7598 / GSR-SART
  Few-view CT reconstruction with group-sparsity regularization
  ☆29Updated 7 years ago
• sedaboni / ADMM-DIPTV
  Combining Weighted Total Variation and Deep Image Prior for natural and medical image restoration via ADMM (2021)
  ☆38Updated 2 years ago
• hanyoseob / k-space-deep-learning
  k-Space Deep Learning for Accelerated MRI
  ☆32Updated 5 years ago
• bo-10000 / MoDL_PyTorch
  PyTorch implementation of MoDL: Model Based Deep Learning Architecture for Inverse Problems
  ☆27Updated last year
• hongtao-argmin / CQNPCS_MRIReco
  Python implementation of A Complex Quasi-Newton Proximal Method for Image Reconstruction in Compressed Sensing MRI paper
  ☆12Updated 2 months ago
• yqx7150 / HGGDP
  Homotopic Gradients of Generative Density Priors for MR Image Reconstruction
  ☆20Updated 6 months ago
• mars11121 / DuDoTrans
  This code is an official implementation of "DuDoTrans: Dual-Domain Transformer for Sparse-View CT Reconstruction".
  ☆36Updated 2 years ago
• Houruizhi / TRPA
  Truncated Residual Based Plug-and-Play ADMM Algorithm for MRI Reconstruction
  ☆17Updated last year
• adler-j / learned_primal_dual
  Learned Primal-Dual Reconstruction
  ☆101Updated 6 years ago
• yqx7150 / REDAEP
  REDAEP: Robust and Enhanced Denoising Autoencoding Prior for Sparse-View CT Reconstruction
  ☆14Updated 6 months ago
• hanyoseob / framing-u-net
  Deep Convolutional Framelets: A General Deep Learning Framework for Inverse Problems
  ☆29Updated 7 years ago
• Keziwen / SLR-Net
  Code for our work: "Learned Low-rank Priors in Dynamic MR Imaging"
  ☆40Updated 3 years ago
• lixing0810 / Pytorch_ADMM-CSNet
  Codes for model in "ADMM-CSNet: A Deep Learning Approach for Image Compressive Sensing" (TPAMI 2019)
  ☆30Updated 3 years ago
• jleuschn / learned_ct_reco_comparison_paper
  Code and supplementing material for the Article "Quantitative comparison of deep learning-based image reconstruction methods for low-dose…
  ☆14Updated 3 years ago
• yqx7150 / WDAEPRec
  Denoising Auto-encoding Priors in Undecimated Wavelet Domain for MRI Reconstruction
  ☆12Updated 6 months ago
• Deep-Imaging-Group / MD-Recon-Net
  Code for “MD-Recon-Net: A Parallel Dual-Domain Convolutional Neural Network for Compressed Sensing MRI”
  ☆20Updated last year
• pengbao7598 / PWLS-CSCGR
  Convolutional Sparse Coding for Compressed Sensing CT Reconstruction
  ☆42Updated 6 years ago